Pandas Profiling Report

Dataset statistics

Number of variables	39
Number of observations	1539
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	469.0 KiB
Average record size in memory	312.1 B

Variable types

Categorical	22
Numeric	17

Alerts

`title` has a high cardinality: 1201 distinct values	High cardinality
`title_orig` has a high cardinality: 1203 distinct values	High cardinality
`tags` has a high cardinality: 1230 distinct values	High cardinality
`product_color` has a high cardinality: 102 distinct values	High cardinality
`product_variation_size_id` has a high cardinality: 107 distinct values	High cardinality
`merchant_title` has a high cardinality: 958 distinct values	High cardinality
`merchant_name` has a high cardinality: 958 distinct values	High cardinality
`merchant_info_subtitle` has a high cardinality: 1059 distinct values	High cardinality
`merchant_id` has a high cardinality: 958 distinct values	High cardinality
`product_url` has a high cardinality: 1341 distinct values	High cardinality
`product_picture` has a high cardinality: 1341 distinct values	High cardinality
`product_id` has a high cardinality: 1341 distinct values	High cardinality
`tag_list` has a high cardinality: 1230 distinct values	High cardinality
`price` is highly correlated with `retail_price` and 1 other fields	High correlation
`retail_price` is highly correlated with `price`	High correlation
`units_sold` is highly correlated with `rating_count` and 5 other fields	High correlation
`rating_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_five_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_four_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_three_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_two_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_one_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`badges_count` is highly correlated with `badge_product_quality`	High correlation
`badge_product_quality` is highly correlated with `badges_count`	High correlation
`shipping_option_price` is highly correlated with `price`	High correlation
`price` is highly correlated with `shipping_option_price`	High correlation
`units_sold` is highly correlated with `rating_count` and 5 other fields	High correlation
`rating_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_five_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_four_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_three_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_two_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_one_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`badges_count` is highly correlated with `badge_local_product` and 1 other fields	High correlation
`badge_local_product` is highly correlated with `badges_count`	High correlation
`badge_product_quality` is highly correlated with `badges_count`	High correlation
`shipping_option_price` is highly correlated with `price`	High correlation
`price` is highly correlated with `shipping_option_price`	High correlation
`units_sold` is highly correlated with `rating_count` and 5 other fields	High correlation
`rating_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_five_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_four_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_three_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_two_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_one_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`badges_count` is highly correlated with `badge_product_quality`	High correlation
`badge_product_quality` is highly correlated with `badges_count`	High correlation
`shipping_option_price` is highly correlated with `price`	High correlation
`badges_count` is highly correlated with `badge_local_product` and 3 other fields	High correlation
`badge_local_product` is highly correlated with `badges_count`	High correlation
`shipping_is_express` is highly correlated with `badges_count`	High correlation
`badge_product_quality` is highly correlated with `badges_count`	High correlation
`badge_fast_shipping` is highly correlated with `badges_count`	High correlation
`price` is highly correlated with `shipping_option_price`	High correlation
`units_sold` is highly correlated with `rating_count` and 5 other fields	High correlation
`rating` is highly correlated with `badge_product_quality`	High correlation
`rating_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_five_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_four_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_three_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_two_count` is highly correlated with `units_sold` and 5 other fields	High correlation
`rating_one_count` is highly correlated with `units_sold` and 6 other fields	High correlation
`badges_count` is highly correlated with `badge_local_product` and 3 other fields	High correlation
`badge_local_product` is highly correlated with `badges_count` and 1 other fields	High correlation
`badge_product_quality` is highly correlated with `rating` and 1 other fields	High correlation
`badge_fast_shipping` is highly correlated with `badges_count` and 2 other fields	High correlation
`shipping_option_price` is highly correlated with `price` and 1 other fields	High correlation
`shipping_is_express` is highly correlated with `badges_count` and 2 other fields	High correlation
`origin_country` is highly correlated with `merchant_rating`	High correlation
`merchant_rating_count` is highly correlated with `rating_one_count`	High correlation
`merchant_rating` is highly correlated with `origin_country`	High correlation
`title` is uniformly distributed	Uniform
`title_orig` is uniformly distributed	Uniform
`tags` is uniformly distributed	Uniform
`merchant_info_subtitle` is uniformly distributed	Uniform
`product_url` is uniformly distributed	Uniform
`product_picture` is uniformly distributed	Uniform
`product_id` is uniformly distributed	Uniform
`tag_list` is uniformly distributed	Uniform
`rating_count` has 43 (2.8%) zeros	Zeros
`rating_five_count` has 70 (4.5%) zeros	Zeros
`rating_four_count` has 130 (8.4%) zeros	Zeros
`rating_three_count` has 130 (8.4%) zeros	Zeros
`rating_two_count` has 228 (14.8%) zeros	Zeros
`rating_one_count` has 152 (9.9%) zeros	Zeros

Reproduction

Analysis started	2022-08-24 23:40:51.529044
Analysis finished	2022-08-24 23:41:47.637648
Duration	56.11 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

title
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1201
Distinct (%)	78.0%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

Nouvelle mode d'été femmes robe décontractée col rond lâche Big Swing jupe sans manches Soild couleur robe de plage	22
Mini robe de soirée décontractée sans manches pour femmes	11
Pantalon à lacets à la mode pour femmes d'été, plus la taille Pantalon court à taille haute décontracté	9
Tissu taille formateur gilet chaud shaper été shaperwear minceur réglable sueur ceinture corps shaper	9
Femmes d'été Sling Dress V-cou Floral Strap plissé Casual Pocket Large Dress	9
Other values (1196)	1479

Length

Max length	327
Median length	194
Mean length	117.0116959
Min length	27

Characters and Unicode

Total characters	180081
Distinct characters	99
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	996 ?
Unique (%)	64.7%

Sample

1st row	2020 Summer Vintage Flamingo Print Pajamas Set Casual Loose T Shirt Top And Elastic Shorts Women Sleepwear Night Wear Loungewear Sets
2nd row	SSHOUSE Summer Casual Sleeveless Soirée Party Soirée sans manches Vêtements de plage sexy Mini robe femme wshC1612242400387A21
3rd row	2020 Nouvelle Arrivée Femmes Printemps et Été Plage Porter Longue Mince Cardigan Ouvert Avant Kimono Vert Feuille Imprimé En Mousseline de Soie Cardigan S-5XL
4th row	Hot Summer Cool T-shirt pour les femmes Mode Tops Abeille Lettres imprimées Manches courtes O Neck Coton T-shirts Tops Tee Vêtements
5th row	Femmes Shorts d'été à lacets taille élastique lâche mince pantalon décontracté, plus la taille S-8XL

Common Values

Value	Count	Frequency (%)
Nouvelle mode d'été femmes robe décontractée col rond lâche Big Swing jupe sans manches Soild couleur robe de plage	22	1.4%
Mini robe de soirée décontractée sans manches pour femmes	11	0.7%
Pantalon à lacets à la mode pour femmes d'été, plus la taille Pantalon court à taille haute décontracté	9	0.6%
Tissu taille formateur gilet chaud shaper été shaperwear minceur réglable sueur ceinture corps shaper	9	0.6%
Femmes d'été Sling Dress V-cou Floral Strap plissé Casual Pocket Large Dress	9	0.6%
Pantalon de mode d'été Femmes Leggings Pantalon déchiré Pantalon slim Pantalon vert armée Collants	7	0.5%
Mode féminine été bretelles spaghetti imprimé floral nouer devant mini robe robe sexy	7	0.5%
Femmes été décontracté lâche couleur unie salopette vintage sangle pantalon long combinaisons barboteuses grande taille	6	0.4%
Mode féminine Maillots de bain Deux pièces Split Bikini Set Summer Printed Beach Bathing Swimsuits	6	0.4%
Femmes Shorts d'été à lacets taille élastique lâche mince pantalon décontracté, plus la taille S-8XL	6	0.4%
Other values (1191)	1447	94.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
femmes	979	3.4%
de	896	3.1%
robe	869	3.0%
manches	754	2.6%
d'été	736	2.6%
mode	630	2.2%
taille	592	2.1%
à	574	2.0%
sans	510	1.8%
casual	436	1.5%
Other values (1937)	21539	75.5%

Most occurring characters

Value	Count	Frequency (%)
	27101	15.0%
e	19210	10.7%
s	10930	6.1%
o	10209	5.7%
a	9604	5.3%
l	8355	4.6%
t	8254	4.6%
r	7997	4.4%
n	7850	4.4%
i	7503	4.2%
Other values (89)	63068	35.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	130919	72.7%
Space Separator	27104	15.1%
Uppercase Letter	18315	10.2%
Decimal Number	1452	0.8%
Other Punctuation	1121	0.6%
Dash Punctuation	1019	0.6%
Close Punctuation	57	< 0.1%
Open Punctuation	57	< 0.1%
Math Symbol	26	< 0.1%
Connector Punctuation	8	< 0.1%
Other values (2)	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	19210	14.7%
s	10930	8.3%
o	10209	7.8%
a	9604	7.3%
l	8355	6.4%
t	8254	6.3%
r	7997	6.1%
n	7850	6.0%
i	7503	5.7%
m	6791	5.2%
Other values (26)	34216	26.1%

Uppercase Letter

Value	Count	Frequency (%)
S	2901	15.8%
C	1771	9.7%
T	1437	7.8%
F	1300	7.1%
D	1290	7.0%
P	1265	6.9%
M	1178	6.4%
L	1177	6.4%
B	893	4.9%
R	845	4.6%
Other values (18)	4258	23.2%

Other Punctuation

Value	Count	Frequency (%)
'	890	79.4%
,	135	12.0%
/	39	3.5%
"	24	2.1%
.	13	1.2%
:	8	0.7%
!	4	0.4%
&	4	0.4%
\	2	0.2%
%	1	0.1%

Decimal Number

Value	Count	Frequency (%)
2	334	23.0%
0	322	22.2%
5	242	16.7%
1	173	11.9%
8	110	7.6%
9	88	6.1%
3	68	4.7%
4	47	3.2%
6	45	3.1%
7	23	1.6%

Close Punctuation

Value	Count	Frequency (%)
)	53	93.0%
）	3	5.3%
]	1	1.8%

Open Punctuation

Value	Count	Frequency (%)
(	50	87.7%
（	6	10.5%
[	1	1.8%

Space Separator

Value	Count	Frequency (%)
	27101	> 99.9%
	3	< 0.1%

Math Symbol

Value	Count	Frequency (%)
~	15	57.7%
+	11	42.3%

Dash Punctuation

Value	Count	Frequency (%)
-	1019	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	8	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	2	100.0%

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	149234	82.9%
Common	30847	17.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	19210	12.9%
s	10930	7.3%
o	10209	6.8%
a	9604	6.4%
l	8355	5.6%
t	8254	5.5%
r	7997	5.4%
n	7850	5.3%
i	7503	5.0%
m	6791	4.6%
Other values (54)	52531	35.2%

Common

Value	Count	Frequency (%)
	27101	87.9%
-	1019	3.3%
'	890	2.9%
2	334	1.1%
0	322	1.0%
5	242	0.8%
1	173	0.6%
,	135	0.4%
8	110	0.4%
9	88	0.3%
Other values (25)	433	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174658	97.0%
None	5423	3.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	27101	15.5%
e	19210	11.0%
s	10930	6.3%
o	10209	5.8%
a	9604	5.5%
l	8355	4.8%
t	8254	4.7%
r	7997	4.6%
n	7850	4.5%
i	7503	4.3%
Other values (74)	57645	33.0%

None

Value	Count	Frequency (%)
é	4015	74.0%
à	501	9.2%
â	296	5.5%
É	221	4.1%
è	136	2.5%
ê	112	2.1%
À	74	1.4%
ô	27	0.5%
î	16	0.3%
（	6	0.1%
Other values (5)	19	0.4%

title_orig
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1203
Distinct (%)	78.2%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

New Fashion Summer Women Casual Dress Round Neck Loose Big Swing Skirt Sleeveless Soild Color Beach dress	22
Sexy Women's Summer Casual Sleeveless Evening Party Backless Beachwear Mini Dress	11
Summer Women Sling Dress V-neck Floral Pleated Strap Casual Pocket Large Dress	9
Summer Women s Fashion Lace Up Tie Pants Plus Size Casual High Waist Short Pants	9
Fabric Waist Trainer Vest Hot Shaper Summer Shaperwear Slimming Adjustable Sweat Belt Body Shaper	9
Other values (1198)	1479

Length

Max length	272
Median length	177
Mean length	102.668616
Min length	21

Characters and Unicode

Total characters	158007
Distinct characters	99
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	998 ?
Unique (%)	64.8%

Sample

1st row	2020 Summer Vintage Flamingo Print Pajamas Set Casual Loose T Shirt Top And Elastic Shorts Women Sleepwear Night Wear Loungewear Sets
2nd row	Women's Casual Summer Sleeveless Sexy Mini Dress
3rd row	2020 New Arrival Women Spring and Summer Beach Wear Long Thin Cardigan Open Front Kimono Green Leaf Printed Chiffon Cardigan S-5XL
4th row	Hot Summer Cool T Shirt for Women Fashion Tops Bee Printed Letters Short Sleeve O Neck Cotton T-shirts Tops Tee Clothing
5th row	Women Summer Shorts Lace Up Elastic Waistband Loose Thin Casual Pants Plus Size S-8XL

Common Values

Value	Count	Frequency (%)
New Fashion Summer Women Casual Dress Round Neck Loose Big Swing Skirt Sleeveless Soild Color Beach dress	22	1.4%
Sexy Women's Summer Casual Sleeveless Evening Party Backless Beachwear Mini Dress	11	0.7%
Summer Women Sling Dress V-neck Floral Pleated Strap Casual Pocket Large Dress	9	0.6%
Summer Women s Fashion Lace Up Tie Pants Plus Size Casual High Waist Short Pants	9	0.6%
Fabric Waist Trainer Vest Hot Shaper Summer Shaperwear Slimming Adjustable Sweat Belt Body Shaper	9	0.6%
Women's Summer Fashion Spaghetti Strap Floral Print Tie Front Mini Dress Sexy Dress	7	0.5%
Summer Fashion Trousers Women Leggings Ripped Pants Slim Pants Army Green Tights Pants	7	0.5%
Women Fashion Swimwear Two Pieces Split Bikini Set Summer Printed Beach Bathing Swimsuits	6	0.4%
Women Summer Casual Loose Solid Color Vintage Overalls Strap Long Pants Jumpsuits Rompers Plus Size	6	0.4%
Women Summer Shorts Lace Up Elastic Waistband Loose Thin Casual Pants Plus Size S-8XL	6	0.4%
Other values (1193)	1447	94.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
summer	1292	5.2%
dress	1005	4.1%
women	989	4.0%
fashion	846	3.4%
casual	825	3.3%
size	583	2.4%
plus	550	2.2%
sleeveless	528	2.1%
loose	440	1.8%
short	420	1.7%
Other values (1509)	17268	69.8%

Most occurring characters

Value	Count	Frequency (%)
	23452	14.8%
e	15434	9.8%
s	11399	7.2%
o	9266	5.9%
r	7925	5.0%
a	7571	4.8%
i	7425	4.7%
n	6791	4.3%
S	6605	4.2%
t	6395	4.0%
Other values (89)	55744	35.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	106336	67.3%
Uppercase Letter	25138	15.9%
Space Separator	23452	14.8%
Decimal Number	1410	0.9%
Dash Punctuation	937	0.6%
Other Punctuation	565	0.4%
Close Punctuation	56	< 0.1%
Open Punctuation	56	< 0.1%
Math Symbol	26	< 0.1%
Final Punctuation	13	< 0.1%
Other values (4)	18	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	15434	14.5%
s	11399	10.7%
o	9266	8.7%
r	7925	7.5%
a	7571	7.1%
i	7425	7.0%
n	6791	6.4%
t	6395	6.0%
l	6277	5.9%
m	5189	4.9%
Other values (21)	22664	21.3%

Uppercase Letter

Value	Count	Frequency (%)
S	6605	26.3%
C	2005	8.0%
P	1994	7.9%
W	1855	7.4%
T	1832	7.3%
L	1699	6.8%
D	1478	5.9%
F	1440	5.7%
B	1400	5.6%
N	727	2.9%
Other values (18)	4103	16.3%

Other Punctuation

Value	Count	Frequency (%)
'	430	76.1%
/	40	7.1%
,	34	6.0%
"	18	3.2%
&	15	2.7%
.	7	1.2%
:	7	1.2%
;	4	0.7%
!	4	0.7%
#	2	0.4%
Other values (3)	4	0.7%

Decimal Number

Value	Count	Frequency (%)
2	322	22.8%
0	312	22.1%
5	239	17.0%
1	162	11.5%
8	105	7.4%
9	87	6.2%
3	69	4.9%
4	49	3.5%
6	44	3.1%
7	21	1.5%

Close Punctuation

Value	Count	Frequency (%)
)	52	92.9%
）	3	5.4%
]	1	1.8%

Open Punctuation

Value	Count	Frequency (%)
(	49	87.5%
（	6	10.7%
[	1	1.8%

Math Symbol

Value	Count	Frequency (%)
~	15	57.7%
+	11	42.3%

Final Punctuation

Value	Count	Frequency (%)
’	12	92.3%
”	1	7.7%

Initial Punctuation

Value	Count	Frequency (%)
“	5	62.5%
‘	3	37.5%

Space Separator

Value	Count	Frequency (%)
	23452	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	937	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	8	100.0%

Other Symbol

Value	Count	Frequency (%)
™	1	100.0%

Control

Value	Count	Frequency (%)
	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	131474	83.2%
Common	26533	16.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	15434	11.7%
s	11399	8.7%
o	9266	7.0%
r	7925	6.0%
a	7571	5.8%
i	7425	5.6%
n	6791	5.2%
S	6605	5.0%
t	6395	4.9%
l	6277	4.8%
Other values (49)	46386	35.3%

Common

Value	Count	Frequency (%)
	23452	88.4%
-	937	3.5%
'	430	1.6%
2	322	1.2%
0	312	1.2%
5	239	0.9%
1	162	0.6%
8	105	0.4%
9	87	0.3%
3	69	0.3%
Other values (30)	418	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	157966	> 99.9%
Punctuation	21	< 0.1%
None	19	< 0.1%
Letterlike Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	23452	14.8%
e	15434	9.8%
s	11399	7.2%
o	9266	5.9%
r	7925	5.0%
a	7571	4.8%
i	7425	4.7%
n	6791	4.3%
S	6605	4.2%
t	6395	4.0%
Other values (75)	55703	35.3%

Punctuation

Value	Count	Frequency (%)
’	12	57.1%
“	5	23.8%
‘	3	14.3%
”	1	4.8%

None

Value	Count	Frequency (%)
（	6	31.6%
）	3	15.8%
ä	3	15.8%
é	2	10.5%
ß	1	5.3%
ö	1	5.3%
Ü	1	5.3%
à	1	5.3%
Ä	1	5.3%

Letterlike Symbols

Value	Count	Frequency (%)
™	1	100.0%

price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	127
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.356452242

Minimum	1
Maximum	49
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2.66
Q1	5.825
median	8
Q3	11
95-th percentile	15
Maximum	49
Range	48
Interquartile range (IQR)	5.175

Descriptive statistics

Standard deviation	3.937160762
Coefficient of variation (CV)	0.4711521886
Kurtosis	7.863954254
Mean	8.356452242
Median Absolute Deviation (MAD)	3
Skewness	1.327111243
Sum	12860.58
Variance	15.50123487
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	277	18.0%
11	197	12.8%
9	125	8.1%
7	124	8.1%
6	116	7.5%
12	81	5.3%
5	79	5.1%
14	56	3.6%
13	54	3.5%
16	41	2.7%
Other values (117)	389	25.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	0.3%
1.65	2	0.1%
1.66	2	0.1%
1.67	1	0.1%
1.68	4	0.3%
1.7	1	0.1%
1.71	1	0.1%
1.72	5	0.3%
1.74	1	0.1%
1.75	2	0.1%

Value	Count	Frequency (%)
49	1	0.1%
27	1	0.1%
26	1	0.1%
25	1	0.1%
24	1	0.1%
23	1	0.1%
22	3	0.2%
20	4	0.3%
19	6	0.4%
18	9	0.6%

retail_price
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	104
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.31708902

Minimum	1
Maximum	252
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	7
median	10
Q3	26
95-th percentile	85
Maximum	252
Range	251
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	30.30964239
Coefficient of variation (CV)	1.299889637
Kurtosis	10.05389115
Mean	23.31708902
Median Absolute Deviation (MAD)	5
Skewness	2.737019061
Sum	35885
Variance	918.6744217
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	172	11.2%
6	132	8.6%
10	125	8.1%
5	100	6.5%
11	98	6.4%
8	89	5.8%
9	53	3.4%
4	49	3.2%
17	46	3.0%
2	42	2.7%
Other values (94)	633	41.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	42	2.7%
3	36	2.3%
4	49	3.2%
5	100	6.5%
6	132	8.6%
7	172	11.2%
8	89	5.8%
9	53	3.4%
10	125	8.1%

Value	Count	Frequency (%)
252	2	0.1%
250	1	0.1%
169	1	0.1%
168	4	0.3%
159	4	0.3%
152	2	0.1%
145	1	0.1%
142	1	0.1%
140	3	0.2%
139	1	0.1%

units_sold
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4422.480182

Minimum	1
Maximum	100000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	1
5-th percentile	50
Q1	100
median	1000
Q3	5000
95-th percentile	20000
Maximum	100000
Range	99999
Interquartile range (IQR)	4900

Descriptive statistics

Standard deviation	9438.316389
Coefficient of variation (CV)	2.134168159
Kurtosis	44.74816421
Mean	4422.480182
Median Absolute Deviation (MAD)	900
Skewness	5.576354077
Sum	6806197
Variance	89081816.26
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
100	493	32.0%
1000	403	26.2%
5000	216	14.0%
10000	176	11.4%
20000	103	6.7%
50	68	4.4%
10	44	2.9%
50000	17	1.1%
100000	6	0.4%
1	3	0.2%
Other values (5)	10	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	0.2%
2	2	0.1%
3	2	0.1%
6	1	0.1%
7	2	0.1%
8	3	0.2%
10	44	2.9%
50	68	4.4%
100	493	32.0%
1000	403	26.2%

Value	Count	Frequency (%)
100000	6	0.4%
50000	17	1.1%
20000	103	6.7%
10000	176	11.4%
5000	216	14.0%
1000	403	26.2%
100	493	32.0%
50	68	4.4%
10	44	2.9%
8	3	0.2%

uses_ad_boosts
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

0	868
1	671

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	868	56.4%
1	671	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	868	56.4%
1	671	43.6%

Most occurring characters

Value	Count	Frequency (%)
0	868	56.4%
1	671	43.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1539	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	868	56.4%
1	671	43.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1539	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	868	56.4%
1	671	43.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	868	56.4%
1	671	43.6%

rating
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	192
Distinct (%)	12.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.822839506

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	3.55
median	3.85
Q3	4.11
95-th percentile	4.67
Maximum	5
Range	4
Interquartile range (IQR)	0.56

Descriptive statistics

Standard deviation	0.50861901
Coefficient of variation (CV)	0.1330474401
Kurtosis	2.892141789
Mean	3.822839506
Median Absolute Deviation (MAD)	0.28
Skewness	-0.5473695733
Sum	5883.35
Variance	0.2586932974
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	65	4.2%
4	43	2.8%
3.67	31	2.0%
4.07	22	1.4%
3.8	21	1.4%
3.61	20	1.3%
3	19	1.2%
3.75	19	1.2%
4.09	19	1.2%
4.14	19	1.2%
Other values (182)	1261	81.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	0.2%
1.5	2	0.1%
2	8	0.5%
2.25	1	0.1%
2.33	1	0.1%
2.44	2	0.1%
2.5	3	0.2%
2.57	2	0.1%
2.61	2	0.1%
2.67	5	0.3%

Value	Count	Frequency (%)
5	65	4.2%
4.86	1	0.1%
4.83	1	0.1%
4.8	2	0.1%
4.75	4	0.3%
4.74	1	0.1%
4.67	6	0.4%
4.64	1	0.1%
4.63	2	0.1%
4.62	1	0.1%

rating_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	761
Distinct (%)	49.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	907.3723197

Minimum	0
Maximum	20744
Zeros	43
Zeros (%)	2.8%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	26
median	161
Q3	873
95-th percentile	3822.5
Maximum	20744
Range	20744
Interquartile range (IQR)	847

Descriptive statistics

Standard deviation	2001.720315
Coefficient of variation (CV)	2.206062794
Kurtosis	29.38686326
Mean	907.3723197
Median Absolute Deviation (MAD)	157
Skewness	4.74118781
Sum	1396446
Variance	4006884.218
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	43	2.8%
2	28	1.8%
4	27	1.8%
6	26	1.7%
12	24	1.6%
10	19	1.2%
3	19	1.2%
1	17	1.1%
8	17	1.1%
13	17	1.1%
Other values (751)	1302	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	43	2.8%
1	17	1.1%
2	28	1.8%
3	19	1.2%
4	27	1.8%
5	11	0.7%
6	26	1.7%
7	12	0.8%
8	17	1.1%
9	8	0.5%

Value	Count	Frequency (%)
20744	1	0.1%
18463	1	0.1%
18393	1	0.1%
17980	1	0.1%
17444	1	0.1%
14568	1	0.1%
13789	1	0.1%
13488	1	0.1%
13198	1	0.1%
12880	1	0.1%

rating_five_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	605
Distinct (%)	39.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	438.1448993

Minimum	0
Maximum	11548
Zeros	70
Zeros (%)	4.5%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	11
median	77
Q3	401
95-th percentile	2045.5
Maximum	11548
Range	11548
Interquartile range (IQR)	390

Descriptive statistics

Standard deviation	977.5953676
Coefficient of variation (CV)	2.231214763
Kurtosis	34.33679413
Mean	438.1448993
Median Absolute Deviation (MAD)	75
Skewness	4.946674927
Sum	674305
Variance	955692.7027
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	70	4.5%
5	48	3.1%
1	46	3.0%
3	42	2.7%
2	40	2.6%
4	32	2.1%
9	25	1.6%
7	24	1.6%
8	21	1.4%
17	20	1.3%
Other values (595)	1171	76.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	70	4.5%
1	46	3.0%
2	40	2.6%
3	42	2.7%
4	32	2.1%
5	48	3.1%
6	19	1.2%
7	24	1.6%
8	21	1.4%
9	25	1.6%

Value	Count	Frequency (%)
11548	1	0.1%
11184	1	0.1%
8290	1	0.1%
7530	1	0.1%
7337	1	0.1%
6862	1	0.1%
6769	1	0.1%
6325	1	0.1%
6060	1	0.1%
5946	1	0.1%

rating_four_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	440
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	177.9220273

Minimum	0
Maximum	4152
Zeros	130
Zeros (%)	8.4%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4.5
median	30
Q3	167
95-th percentile	734.4
Maximum	4152
Range	4152
Interquartile range (IQR)	162.5

Descriptive statistics

Standard deviation	399.4437067
Coefficient of variation (CV)	2.245049209
Kurtosis	27.9005552
Mean	177.9220273
Median Absolute Deviation (MAD)	29
Skewness	4.680767905
Sum	273822
Variance	159555.2748
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	130	8.4%
1	87	5.7%
2	64	4.2%
4	52	3.4%
3	52	3.4%
5	49	3.2%
7	30	1.9%
11	28	1.8%
8	26	1.7%
6	26	1.7%
Other values (430)	995	64.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	130	8.4%
1	87	5.7%
2	64	4.2%
3	52	3.4%
4	52	3.4%
5	49	3.2%
6	26	1.7%
7	30	1.9%
8	26	1.7%
9	17	1.1%

Value	Count	Frequency (%)
4152	1	0.1%
3483	1	0.1%
3404	1	0.1%
3351	1	0.1%
3191	1	0.1%
3006	1	0.1%
2952	1	0.1%
2836	1	0.1%
2701	1	0.1%
2647	1	0.1%

rating_three_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	440
Distinct (%)	28.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	177.9220273

Minimum	0
Maximum	4152
Zeros	130
Zeros (%)	8.4%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4.5
median	30
Q3	167
95-th percentile	734.4
Maximum	4152
Range	4152
Interquartile range (IQR)	162.5

Descriptive statistics

Standard deviation	399.4437067
Coefficient of variation (CV)	2.245049209
Kurtosis	27.9005552
Mean	177.9220273
Median Absolute Deviation (MAD)	29
Skewness	4.680767905
Sum	273822
Variance	159555.2748
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	130	8.4%
1	87	5.7%
2	64	4.2%
4	52	3.4%
3	52	3.4%
5	49	3.2%
7	30	1.9%
11	28	1.8%
8	26	1.7%
6	26	1.7%
Other values (430)	995	64.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	130	8.4%
1	87	5.7%
2	64	4.2%
3	52	3.4%
4	52	3.4%
5	49	3.2%
6	26	1.7%
7	30	1.9%
8	26	1.7%
9	17	1.1%

Value	Count	Frequency (%)
4152	1	0.1%
3483	1	0.1%
3404	1	0.1%
3351	1	0.1%
3191	1	0.1%
3006	1	0.1%
2952	1	0.1%
2836	1	0.1%
2701	1	0.1%
2647	1	0.1%

rating_two_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	262
Distinct (%)	17.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	63.13385315

Minimum	0
Maximum	2003
Zeros	228
Zeros (%)	14.8%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	11
Q3	61
95-th percentile	271.7
Maximum	2003
Range	2003
Interquartile range (IQR)	59

Descriptive statistics

Standard deviation	150.9319562
Coefficient of variation (CV)	2.390666001
Kurtosis	45.08231125
Mean	63.13385315
Median Absolute Deviation (MAD)	11
Skewness	5.68142204
Sum	97163
Variance	22780.45541
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	228	14.8%
1	151	9.8%
2	82	5.3%
3	67	4.4%
4	54	3.5%
5	40	2.6%
6	37	2.4%
7	35	2.3%
8	29	1.9%
9	23	1.5%
Other values (252)	793	51.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	228	14.8%
1	151	9.8%
2	82	5.3%
3	67	4.4%
4	54	3.5%
5	40	2.6%
6	37	2.4%
7	35	2.3%
8	29	1.9%
9	23	1.5%

Value	Count	Frequency (%)
2003	1	0.1%
1736	1	0.1%
1410	1	0.1%
1310	1	0.1%
1174	1	0.1%
1136	1	0.1%
1033	1	0.1%
970	1	0.1%
960	1	0.1%
916	1	0.1%

rating_one_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	330
Distinct (%)	21.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	94.85120208

Minimum	0
Maximum	2789
Zeros	152
Zeros (%)	9.9%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	19
Q3	91.5
95-th percentile	396.1
Maximum	2789
Range	2789
Interquartile range (IQR)	88.5

Descriptive statistics

Standard deviation	213.5208576
Coefficient of variation (CV)	2.251113881
Kurtosis	42.06094737
Mean	94.85120208
Median Absolute Deviation (MAD)	19
Skewness	5.397757116
Sum	145976
Variance	45591.15665
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	152	9.9%
1	111	7.2%
2	70	4.5%
3	67	4.4%
4	58	3.8%
7	45	2.9%
5	38	2.5%
6	32	2.1%
8	31	2.0%
9	27	1.8%
Other values (320)	908	59.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	152	9.9%
1	111	7.2%
2	70	4.5%
3	67	4.4%
4	58	3.8%
5	38	2.5%
6	32	2.1%
7	45	2.9%
8	31	2.0%
9	27	1.8%

Value	Count	Frequency (%)
2789	1	0.1%
2559	1	0.1%
1846	1	0.1%
1736	1	0.1%
1600	1	0.1%
1404	1	0.1%
1329	1	0.1%
1315	2	0.1%
1271	1	0.1%
1243	1	0.1%

badges_count
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

0	1391
1	135
2	11
3	2

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1539
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1391	90.4%
1	135	8.8%
2	11	0.7%
3	2	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1391	90.4%
1	135	8.8%
2	11	0.7%
3	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	1391	90.4%
1	135	8.8%
2	11	0.7%
3	2	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1539	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1391	90.4%
1	135	8.8%
2	11	0.7%
3	2	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	1539	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1391	90.4%
1	135	8.8%
2	11	0.7%
3	2	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1391	90.4%
1	135	8.8%
2	11	0.7%
3	2	0.1%

badge_local_product
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

0	1510
1	29

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1510	98.1%
1	29	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1510	98.1%
1	29	1.9%

Most occurring characters

Value	Count	Frequency (%)
0	1510	98.1%
1	29	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1539	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1510	98.1%
1	29	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	1539	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1510	98.1%
1	29	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1510	98.1%
1	29	1.9%

badge_product_quality
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

0	1425
1	114

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1425	92.6%
1	114	7.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1425	92.6%
1	114	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	1425	92.6%
1	114	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1539	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1425	92.6%
1	114	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1539	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1425	92.6%
1	114	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1425	92.6%
1	114	7.4%

badge_fast_shipping
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

0	1519
1	20

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1519	98.7%
1	20	1.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1519	98.7%
1	20	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	1519	98.7%
1	20	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1539	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1519	98.7%
1	20	1.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1539	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1519	98.7%
1	20	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1519	98.7%
1	20	1.3%

tags
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1230
Distinct (%)	79.9%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

Summer,Fashion,Necks,Skirts,Dress,Loose,Women's Fashion,Round neck,beach dress,sleeveless,Beach,Casual,Women	15
Summer,Sling,Dresses,Dress,V-neck,Casual,Pocket,Women's Fashion,Sleeveless dress,women dress,Floral,sleeveless,Women,loose dress,Pleated,casual dress	9
slimming,wasitcincher,Fashion,waistgirdle,slimmingcorset,Corset,Summer,Waist,waist trainer,Fashion Accessory,Vest,shaperwear,belt	8
Summer,Fashion,Necks,Beach,Dress,Loose,beach dress,Round neck,Women's Fashion,sleeveless,Skirts,Casual,Women	7
Summer,Women Rompers,Plus Size,women long pants,linenjumpsuit,pants,Overalls,Loose,plussizejumpsuit,Women's Fashion,strappant,Long pants,Jumpsuits & Rompers,rompers womens jumpsuit,Vintage,Women,women Jumpsuit,Casual,jumpsuit	6
Other values (1225)	1494

Length

Max length	448
Median length	241
Mean length	169.3417804
Min length	61

Characters and Unicode

Total characters	260617
Distinct characters	85
Distinct categories	8 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1014 ?
Unique (%)	65.9%

Sample

1st row	Summer,Fashion,womenunderwearsuit,printedpajamasset,womencasualshort,Women's Fashion,flamingo,loungewearset,Casual,Shirt,casualsleepwear,Shorts,flamingotshirt,Elastic,Vintage,Tops,tshirtandshortsset,Women,Sleepwear,Print,womenpajamasset,womennightwear,Pajamas,womensleepwearset
2nd row	Mini,womens dresses,Summer,Patchwork,fashion dress,Dress,Mini dress,Women's Fashion,Women S Clothing,backless,party,summer dresses,sleeveless,sexy,Casual
3rd row	Summer,cardigan,women beachwear,chiffon,Sexy women,Coat,summercardigan,openfront,short sleeves,Swimsuit,Women's Fashion,leaf,Green,printed,Spring,longcardigan,Women,Beach,kimono
4th row	Summer,Shorts,Cotton,Cotton T Shirt,Sleeve,printedletterstop,Clothing,Tops,Necks,short sleeves,Women's Fashion,Women Clothing,printed,Women,tshirtforwomen,Fashion,T Shirts,Shirt
5th row	Summer,Plus Size,Lace,Casual pants,Bottom,pants,Loose,Women's Fashion,Shorts,Lace Up,Elastic,Casual,Women

Common Values

Value	Count	Frequency (%)
Summer,Fashion,Necks,Skirts,Dress,Loose,Women's Fashion,Round neck,beach dress,sleeveless,Beach,Casual,Women	15	1.0%
Summer,Sling,Dresses,Dress,V-neck,Casual,Pocket,Women's Fashion,Sleeveless dress,women dress,Floral,sleeveless,Women,loose dress,Pleated,casual dress	9	0.6%
slimming,wasitcincher,Fashion,waistgirdle,slimmingcorset,Corset,Summer,Waist,waist trainer,Fashion Accessory,Vest,shaperwear,belt	8	0.5%
Summer,Fashion,Necks,Beach,Dress,Loose,beach dress,Round neck,Women's Fashion,sleeveless,Skirts,Casual,Women	7	0.5%
Summer,Women Rompers,Plus Size,women long pants,linenjumpsuit,pants,Overalls,Loose,plussizejumpsuit,Women's Fashion,strappant,Long pants,Jumpsuits & Rompers,rompers womens jumpsuit,Vintage,Women,women Jumpsuit,Casual,jumpsuit	6	0.4%
Summer,Leggings,Fashion,high waist,pants,slim,Women's Fashion,trousers,Green,Army,Women	6	0.4%
Summer,short sleeve dress,neck dress,Necks,Sleeve,Beach,Dress,Loose,short sleeves,V-neck,Shorts,beach dress,Plus Size,Midi Dress,summer dress,Print,Pullovers,Women's Fashion,Casual,Women	6	0.4%
pajamaset,Fashion,sexy pajamas for womens,silksleepwearforwomen,silksleepwear,pajamassuit,Casual,Women's Fashion,Summer,Sleepwear,pajamasforwomen,silksleepwearnightgown,silk,pajamassleepwear,women's pajamas,Women	5	0.3%
Summer,Shorts,high waist shorts,high waist,Casual pants,pants,summer shorts,Waist,Slim Fit,Short pants,Women's Fashion,Plus Size,Lace Up,Women,Fashion,Casual,Lace	5	0.3%
Mini,womens dresses,Summer,sleevele,Dress,Mini dress,Women's Fashion,Fashion,backless,party,sexy,summer dresses,Women S Clothing,Casual,sleeveless	5	0.3%
Other values (1220)	1467	95.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
summer,plus	196	1.6%
	163	1.4%
dress,women's	159	1.3%
dress	138	1.2%
t	106	0.9%
sleeve	100	0.8%
for	93	0.8%
fashion,plus	81	0.7%
tank	81	0.7%
fashion,sleeveless	76	0.6%
Other values (5417)	10792	90.0%

Most occurring characters

Value	Count	Frequency (%)
s	28513	10.9%
e	25958	10.0%
,	25251	9.7%
o	16404	6.3%
r	13699	5.3%
n	13594	5.2%
i	13353	5.1%
a	12965	5.0%
t	12578	4.8%
	10453	4.0%
Other values (75)	87849	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	200773	77.0%
Other Punctuation	26871	10.3%
Uppercase Letter	21810	8.4%
Space Separator	10453	4.0%
Dash Punctuation	621	0.2%
Decimal Number	80	< 0.1%
Other Letter	5	< 0.1%
Connector Punctuation	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	28513	14.2%
e	25958	12.9%
o	16404	8.2%
r	13699	6.8%
n	13594	6.8%
i	13353	6.7%
a	12965	6.5%
t	12578	6.3%
m	10037	5.0%
l	9390	4.7%
Other values (29)	44282	22.1%

Uppercase Letter

Value	Count	Frequency (%)
S	5431	24.9%
F	3277	15.0%
W	2808	12.9%
C	1700	7.8%
T	1534	7.0%
P	1457	6.7%
D	1228	5.6%
L	869	4.0%
B	774	3.5%
V	629	2.9%
Other values (14)	2103	9.6%

Decimal Number

Value	Count	Frequency (%)
2	25	31.2%
3	19	23.8%
4	9	11.2%
0	9	11.2%
1	8	10.0%
5	3	3.8%
9	3	3.8%
8	2	2.5%
7	2	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	25251	94.0%
'	1432	5.3%
&	165	0.6%
#	21	0.1%
/	2	< 0.1%

Other Letter

Value	Count	Frequency (%)
漁	1	20.0%
子	1	20.0%
帽	1	20.0%
の	1	20.0%
師	1	20.0%

Space Separator

Value	Count	Frequency (%)
	10453	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	621	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	222571	85.4%
Common	38029	14.6%
Cyrillic	12	< 0.1%
Han	4	< 0.1%
Hiragana	1	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	28513	12.8%
e	25958	11.7%
o	16404	7.4%
r	13699	6.2%
n	13594	6.1%
i	13353	6.0%
a	12965	5.8%
t	12578	5.7%
m	10037	4.5%
l	9390	4.2%
Other values (41)	66080	29.7%

Common

Value	Count	Frequency (%)
,	25251	66.4%
	10453	27.5%
'	1432	3.8%
-	621	1.6%
&	165	0.4%
2	25	0.1%
#	21	0.1%
3	19	< 0.1%
4	9	< 0.1%
0	9	< 0.1%
Other values (7)	24	0.1%

Cyrillic

Value	Count	Frequency (%)
м	1	8.3%
ж	1	8.3%
у	1	8.3%
и	1	8.3%
с	1	8.3%
к	1	8.3%
т	1	8.3%
ы	1	8.3%
р	1	8.3%
о	1	8.3%
Other values (2)	2	16.7%

Han

Value	Count	Frequency (%)
漁	1	25.0%
子	1	25.0%
帽	1	25.0%
師	1	25.0%

Hiragana

Value	Count	Frequency (%)
の	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	260599	> 99.9%
Cyrillic	12	< 0.1%
CJK	4	< 0.1%
Hiragana	1	< 0.1%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	28513	10.9%
e	25958	10.0%
,	25251	9.7%
o	16404	6.3%
r	13699	5.3%
n	13594	5.2%
i	13353	5.1%
a	12965	5.0%
t	12578	4.8%
	10453	4.0%
Other values (57)	87831	33.7%

Cyrillic

Value	Count	Frequency (%)
м	1	8.3%
ж	1	8.3%
у	1	8.3%
и	1	8.3%
с	1	8.3%
к	1	8.3%
т	1	8.3%
ы	1	8.3%
р	1	8.3%
о	1	8.3%
Other values (2)	2	16.7%

CJK

Value	Count	Frequency (%)
漁	1	25.0%
子	1	25.0%
帽	1	25.0%
師	1	25.0%

Hiragana

Value	Count	Frequency (%)
の	1	100.0%

None

Value	Count	Frequency (%)
é	1	100.0%

product_color
Categorical

HIGH CARDINALITY

Distinct	102
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

black	298
white	246
yellow	101
pink	97
blue	96
Other values (97)	701

Length

Max length	19
Median length	18
Mean length	5.601039636
Min length	3

Characters and Unicode

Total characters	8620
Distinct characters	34
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	40 ?
Unique (%)	2.6%

Sample

1st row	white
2nd row	green
3rd row	leopardprint
4th row	black
5th row	yellow

Common Values

Value	Count	Frequency (%)
black	298	19.4%
white	246	16.0%
yellow	101	6.6%
pink	97	6.3%
blue	96	6.2%
red	92	6.0%
green	86	5.6%
grey	70	4.5%
purple	53	3.4%
no_color	41	2.7%
Other values (92)	359	23.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
black	317	19.5%
white	269	16.5%
pink	108	6.6%
yellow	105	6.5%
blue	105	6.5%
green	104	6.4%
red	97	6.0%
grey	72	4.4%
purple	53	3.3%
no_color	41	2.5%
Other values (65)	356	21.9%

Most occurring characters

Value	Count	Frequency (%)
e	1256	14.6%
l	904	10.5%
r	616	7.1%
i	510	5.9%
b	505	5.9%
a	488	5.7%
k	480	5.6%
n	422	4.9%
w	420	4.9%
c	403	4.7%
Other values (24)	2616	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8433	97.8%
Space Separator	88	1.0%
Connector Punctuation	41	0.5%
Other Punctuation	40	0.5%
Uppercase Letter	15	0.2%
Dash Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1256	14.9%
l	904	10.7%
r	616	7.3%
i	510	6.0%
b	505	6.0%
a	488	5.8%
k	480	5.7%
n	422	5.0%
w	420	5.0%
c	403	4.8%
Other values (13)	2429	28.8%

Uppercase Letter

Value	Count	Frequency (%)
B	4	26.7%
W	3	20.0%
P	2	13.3%
A	2	13.3%
R	2	13.3%
E	1	6.7%
D	1	6.7%

Space Separator

Value	Count	Frequency (%)
	88	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	41	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	40	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8448	98.0%
Common	172	2.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1256	14.9%
l	904	10.7%
r	616	7.3%
i	510	6.0%
b	505	6.0%
a	488	5.8%
k	480	5.7%
n	422	5.0%
w	420	5.0%
c	403	4.8%
Other values (20)	2444	28.9%

Common

Value	Count	Frequency (%)
	88	51.2%
_	41	23.8%
&	40	23.3%
-	3	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8620	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1256	14.6%
l	904	10.5%
r	616	7.1%
i	510	5.9%
b	505	5.9%
a	488	5.7%
k	480	5.6%
n	422	4.9%
w	420	4.9%
c	403	4.7%
Other values (24)	2616	30.3%

product_variation_size_id
Categorical

HIGH CARDINALITY

Distinct	107
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

S	630
XS	344
M	198
XXS	94
L	49
Other values (102)	224

Length

Max length	28
Median length	1
Mean length	1.983755686
Min length	1

Characters and Unicode

Total characters	3053
Distinct characters	63
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	4.2%

Sample

1st row	M
2nd row	XS
3rd row	XS
4th row	M
5th row	S

Common Values

Value	Count	Frequency (%)
S	630	40.9%
XS	344	22.4%
M	198	12.9%
XXS	94	6.1%
L	49	3.2%
XL	17	1.1%
S.	16	1.0%
XXL	15	1.0%
no_size	14	0.9%
XXXS	6	0.4%
Other values (97)	156	10.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
s	666	41.0%
xs	353	21.7%
m	204	12.5%
xxs	98	6.0%
l	51	3.1%
size	25	1.5%
xl	18	1.1%
xxl	15	0.9%
no_size	14	0.9%
1	6	0.4%
Other values (111)	176	10.8%

Most occurring characters

Value	Count	Frequency (%)
S	1190	39.0%
X	667	21.8%
M	208	6.8%
L	114	3.7%
	90	2.9%
i	68	2.2%
e	68	2.2%
z	50	1.6%
s	38	1.2%
.	36	1.2%
Other values (53)	524	17.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2263	74.1%
Lowercase Letter	446	14.6%
Decimal Number	152	5.0%
Space Separator	90	2.9%
Other Punctuation	42	1.4%
Dash Punctuation	28	0.9%
Connector Punctuation	14	0.5%
Open Punctuation	9	0.3%
Close Punctuation	9	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	68	15.2%
e	68	15.2%
z	50	11.2%
s	38	8.5%
o	30	6.7%
n	29	6.5%
c	24	5.4%
a	23	5.2%
t	21	4.7%
m	17	3.8%
Other values (14)	78	17.5%

Uppercase Letter

Value	Count	Frequency (%)
S	1190	52.6%
X	667	29.5%
M	208	9.2%
L	114	5.0%
E	14	0.6%
I	11	0.5%
U	10	0.4%
Z	9	0.4%
P	8	0.4%
C	6	0.3%
Other values (11)	26	1.1%

Decimal Number

Value	Count	Frequency (%)
3	31	20.4%
0	24	15.8%
2	21	13.8%
1	19	12.5%
5	17	11.2%
4	16	10.5%
8	8	5.3%
6	7	4.6%
9	5	3.3%
7	4	2.6%

Other Punctuation

Value	Count	Frequency (%)
.	36	85.7%
&	3	7.1%
/	3	7.1%

Space Separator

Value	Count	Frequency (%)
	90	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	28	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	14	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	9	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2709	88.7%
Common	344	11.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	1190	43.9%
X	667	24.6%
M	208	7.7%
L	114	4.2%
i	68	2.5%
e	68	2.5%
z	50	1.8%
s	38	1.4%
o	30	1.1%
n	29	1.1%
Other values (35)	247	9.1%

Common

Value	Count	Frequency (%)
	90	26.2%
.	36	10.5%
3	31	9.0%
-	28	8.1%
0	24	7.0%
2	21	6.1%
1	19	5.5%
5	17	4.9%
4	16	4.7%
_	14	4.1%
Other values (8)	48	14.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3053	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	1190	39.0%
X	667	21.8%
M	208	6.8%
L	114	3.7%
	90	2.9%
i	68	2.2%
e	68	2.2%
z	50	1.6%
s	38	1.2%
.	36	1.2%
Other values (53)	524	17.2%

product_variation_inventory
Real number (ℝ_≥0)

Distinct	48
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.34762833

Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	7
median	50
Q3	50
95-th percentile	50
Maximum	50
Range	49
Interquartile range (IQR)	43

Descriptive statistics

Standard deviation	21.24629577
Coefficient of variation (CV)	0.637115646
Kurtosis	-1.543589937
Mean	33.34762833
Median Absolute Deviation (MAD)	0
Skewness	-0.5901065409
Sum	51322
Variance	451.4050838
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=48)

Value	Count	Frequency (%)
50	895	58.2%
1	145	9.4%
2	77	5.0%
5	69	4.5%
3	49	3.2%
10	38	2.5%
4	25	1.6%
9	22	1.4%
7	18	1.2%
6	18	1.2%
Other values (38)	183	11.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	145	9.4%
2	77	5.0%
3	49	3.2%
4	25	1.6%
5	69	4.5%
6	18	1.2%
7	18	1.2%
8	6	0.4%
9	22	1.4%
10	38	2.5%

Value	Count	Frequency (%)
50	895	58.2%
49	9	0.6%
48	4	0.3%
47	4	0.3%
46	5	0.3%
45	3	0.2%
44	6	0.4%
43	4	0.3%
41	4	0.3%
40	2	0.1%

shipping_option_price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.356725146

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	4
Maximum	12
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.026678554
Coefficient of variation (CV)	0.4356377981
Kurtosis	6.567907465
Mean	2.356725146
Median Absolute Deviation (MAD)	1
Skewness	1.366955377
Sum	3627
Variance	1.054068852
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2	602	39.1%
3	516	33.5%
1	296	19.2%
4	75	4.9%
5	32	2.1%
6	12	0.8%
7	5	0.3%
12	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	296	19.2%
2	602	39.1%
3	516	33.5%
4	75	4.9%
5	32	2.1%
6	12	0.8%
7	5	0.3%
12	1	0.1%

Value	Count	Frequency (%)
12	1	0.1%
7	5	0.3%
6	12	0.8%
5	32	2.1%
4	75	4.9%
3	516	33.5%
2	602	39.1%
1	296	19.2%

shipping_is_express
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

0	1535
1	4

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1535	99.7%
1	4	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1535	99.7%
1	4	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	1535	99.7%
1	4	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1539	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1535	99.7%
1	4	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1539	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1535	99.7%
1	4	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1535	99.7%
1	4	0.3%

countries_shipped_to
Real number (ℝ_≥0)

Distinct	94
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.45094217

Minimum	6
Maximum	140
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	6
5-th percentile	18
Q1	31
median	40
Q3	43
95-th percentile	71.1
Maximum	140
Range	134
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	20.13770936
Coefficient of variation (CV)	0.4978304157
Kurtosis	11.55946634
Mean	40.45094217
Median Absolute Deviation (MAD)	5
Skewness	2.972676949
Sum	62254
Variance	405.5273382
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41	169	11.0%
43	167	10.9%
40	104	6.8%
38	74	4.8%
36	63	4.1%
35	59	3.8%
42	56	3.6%
39	42	2.7%
37	37	2.4%
25	37	2.4%
Other values (84)	731	47.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	1	0.1%
8	5	0.3%
9	4	0.3%
10	7	0.5%
11	2	0.1%
12	2	0.1%
13	4	0.3%
14	16	1.0%
15	4	0.3%
16	3	0.2%

Value	Count	Frequency (%)
140	3	0.2%
139	13	0.8%
138	9	0.6%
137	3	0.2%
135	2	0.1%
132	2	0.1%
127	4	0.3%
125	1	0.1%
124	1	0.1%
118	3	0.2%

inventory_total
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.81741391

Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	1
5-th percentile	50
Q1	50
median	50
Q3	50
95-th percentile	50
Maximum	50
Range	49
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.590832757
Coefficient of variation (CV)	0.05200656866
Kurtosis	280.9706278
Mean	49.81741391
Median Absolute Deviation (MAD)	0
Skewness	-16.29722299
Sum	76669
Variance	6.712414374
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
50	1529	99.4%
2	2	0.1%
40	1	0.1%
36	1	0.1%
1	1	0.1%
30	1	0.1%
9	1	0.1%
24	1	0.1%
37	1	0.1%
38	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	2	0.1%
9	1	0.1%
24	1	0.1%
30	1	0.1%
36	1	0.1%
37	1	0.1%
38	1	0.1%
40	1	0.1%
50	1529	99.4%

Value	Count	Frequency (%)
50	1529	99.4%
40	1	0.1%
38	1	0.1%
37	1	0.1%
36	1	0.1%
30	1	0.1%
24	1	0.1%
9	1	0.1%
2	2	0.1%
1	1	0.1%

has_urgency_banner
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

0	1071
1	468

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	1071	69.6%
1	468	30.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1071	69.6%
1	468	30.4%

Most occurring characters

Value	Count	Frequency (%)
0	1071	69.6%
1	468	30.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1539	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1071	69.6%
1	468	30.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1539	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1071	69.6%
1	468	30.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1071	69.6%
1	468	30.4%

origin_country
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

CN	1484
US	31
no_origin_country	16
VE	4
SG	2
Other values (2)	2

Length

Max length	17
Median length	2
Mean length	2.155945419
Min length	2

Characters and Unicode

Total characters	3318
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	CN
2nd row	CN
3rd row	CN
4th row	CN
5th row	CN

Common Values

Value	Count	Frequency (%)
CN	1484	96.4%
US	31	2.0%
no_origin_country	16	1.0%
VE	4	0.3%
SG	2	0.1%
AT	1	0.1%
GB	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
cn	1484	96.4%
us	31	2.0%
no_origin_country	16	1.0%
ve	4	0.3%
sg	2	0.1%
at	1	0.1%
gb	1	0.1%

Most occurring characters

Value	Count	Frequency (%)
C	1484	44.7%
N	1484	44.7%
n	48	1.4%
o	48	1.4%
S	33	1.0%
_	32	1.0%
r	32	1.0%
i	32	1.0%
U	31	0.9%
t	16	0.5%
Other values (10)	78	2.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	3046	91.8%
Lowercase Letter	240	7.2%
Connector Punctuation	32	1.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	1484	48.7%
N	1484	48.7%
S	33	1.1%
U	31	1.0%
V	4	0.1%
E	4	0.1%
G	3	0.1%
A	1	< 0.1%
T	1	< 0.1%
B	1	< 0.1%

Lowercase Letter

Value	Count	Frequency (%)
n	48	20.0%
o	48	20.0%
r	32	13.3%
i	32	13.3%
t	16	6.7%
y	16	6.7%
c	16	6.7%
u	16	6.7%
g	16	6.7%

Connector Punctuation

Value	Count	Frequency (%)
_	32	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3286	99.0%
Common	32	1.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	1484	45.2%
N	1484	45.2%
n	48	1.5%
o	48	1.5%
S	33	1.0%
r	32	1.0%
i	32	1.0%
U	31	0.9%
t	16	0.5%
y	16	0.5%
Other values (9)	62	1.9%

Common

Value	Count	Frequency (%)
_	32	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3318	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	1484	44.7%
N	1484	44.7%
n	48	1.4%
o	48	1.4%
S	33	1.0%
_	32	1.0%
r	32	1.0%
i	32	1.0%
U	31	0.9%
t	16	0.5%
Other values (10)	78	2.4%

merchant_title
Categorical

HIGH CARDINALITY

Distinct	958
Distinct (%)	62.2%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

guangzhouweishiweifushiyouxiangongsi	14
Suyi Technology	12
Sangboo Store	8
Cenic Beauty	8
shuilingjiao international trade company	8
Other values (953)	1489

Length

Max length	51
Median length	38
Mean length	12.2560104
Min length	2

Characters and Unicode

Total characters	18862
Distinct characters	75
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	642 ?
Unique (%)	41.7%

Sample

1st row	zgrdejia
2nd row	SaraHouse
3rd row	hxt520
4th row	allenfan
5th row	youngpeopleshop

Common Values

Value	Count	Frequency (%)
guangzhouweishiweifushiyouxiangongsi	14	0.9%
Suyi Technology	12	0.8%
Sangboo Store	8	0.5%
Cenic Beauty	8	0.5%
shuilingjiao international trade company	8	0.5%
sjhdstoer	8	0.5%
Pentiumhorse	7	0.5%
witkey BL	6	0.4%
zuilangmanDS	6	0.4%
fengjinying	6	0.4%
Other values (948)	1456	94.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
fashion	56	2.6%
store	40	1.8%
international	22	1.0%
technology	17	0.8%
boutique	17	0.8%
shop	16	0.7%
the	15	0.7%
guangzhouweishiweifushiyouxiangongsi	14	0.6%
ltd	14	0.6%
co	14	0.6%
Other values (1145)	1958	89.7%

Most occurring characters

Value	Count	Frequency (%)
n	1492	7.9%
i	1485	7.9%
a	1423	7.5%
o	1281	6.8%
e	1262	6.7%
u	851	4.5%
s	813	4.3%
h	805	4.3%
g	777	4.1%
l	693	3.7%
Other values (65)	7980	42.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15277	81.0%
Uppercase Letter	1950	10.3%
Decimal Number	801	4.2%
Space Separator	659	3.5%
Other Punctuation	123	0.7%
Connector Punctuation	37	0.2%
Dash Punctuation	10	0.1%
Math Symbol	2	< 0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	1492	9.8%
i	1485	9.7%
a	1423	9.3%
o	1281	8.4%
e	1262	8.3%
u	851	5.6%
s	813	5.3%
h	805	5.3%
g	777	5.1%
l	693	4.5%
Other values (16)	4395	28.8%

Uppercase Letter

Value	Count	Frequency (%)
S	247	12.7%
L	146	7.5%
A	121	6.2%
H	119	6.1%
T	117	6.0%
O	104	5.3%
F	95	4.9%
C	89	4.6%
M	87	4.5%
N	85	4.4%
Other values (16)	740	37.9%

Decimal Number

Value	Count	Frequency (%)
1	137	17.1%
6	125	15.6%
0	106	13.2%
8	95	11.9%
2	88	11.0%
9	61	7.6%
5	59	7.4%
3	47	5.9%
4	45	5.6%
7	38	4.7%

Other Punctuation

Value	Count	Frequency (%)
.	73	59.3%
'	19	15.4%
,	17	13.8%
@	7	5.7%
&	4	3.3%
!	3	2.4%

Space Separator

Value	Count	Frequency (%)
	659	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	37	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	10	100.0%

Math Symbol

Value	Count	Frequency (%)
~	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17227	91.3%
Common	1635	8.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	1492	8.7%
i	1485	8.6%
a	1423	8.3%
o	1281	7.4%
e	1262	7.3%
u	851	4.9%
s	813	4.7%
h	805	4.7%
g	777	4.5%
l	693	4.0%
Other values (42)	6345	36.8%

Common

Value	Count	Frequency (%)
	659	40.3%
1	137	8.4%
6	125	7.6%
0	106	6.5%
8	95	5.8%
2	88	5.4%
.	73	4.5%
9	61	3.7%
5	59	3.6%
3	47	2.9%
Other values (13)	185	11.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18861	> 99.9%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	1492	7.9%
i	1485	7.9%
a	1423	7.5%
o	1281	6.8%
e	1262	6.7%
u	851	4.5%
s	813	4.3%
h	805	4.3%
g	777	4.1%
l	693	3.7%
Other values (64)	7979	42.3%

Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

merchant_name
Categorical

HIGH CARDINALITY

Distinct	958
Distinct (%)	62.2%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

广州唯适唯服饰有限公司	14
greatexpectationstechnology	12
sangboostore	8
cenicbeauty	8
shuilingjiaointernationaltradecompany	8
Other values (953)	1489

Length

Max length	52
Median length	40
Mean length	11.75958415
Min length	2

Characters and Unicode

Total characters	18098
Distinct characters	151
Distinct categories	4 ?
Distinct scripts	3 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	642 ?
Unique (%)	41.7%

Sample

1st row	zgrdejia
2nd row	sarahouse
3rd row	hxt520
4th row	allenfan
5th row	happyhorses

Common Values

Value	Count	Frequency (%)
广州唯适唯服饰有限公司	14	0.9%
greatexpectationstechnology	12	0.8%
sangboostore	8	0.5%
cenicbeauty	8	0.5%
shuilingjiaointernationaltradecompany	8	0.5%
sjhdstoer	8	0.5%
pentiumhorse	7	0.5%
witkeybl	6	0.4%
zuilangmands	6	0.4%
fengjinying	6	0.4%
Other values (948)	1456	94.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
广州唯适唯服饰有限公司	14	0.9%
greatexpectationstechnology	12	0.8%
sangboostore	8	0.5%
cenicbeauty	8	0.5%
shuilingjiaointernationaltradecompany	8	0.5%
sjhdstoer	8	0.5%
pentiumhorse	7	0.5%
sklioppp	6	0.4%
snowgirl	6	0.4%
smarthomeinternationalcoltd	6	0.4%
Other values (948)	1456	94.6%

Most occurring characters

Value	Count	Frequency (%)
a	1536	8.5%
n	1474	8.1%
i	1418	7.8%
e	1350	7.5%
o	1299	7.2%
s	959	5.3%
l	844	4.7%
h	816	4.5%
t	790	4.4%
g	761	4.2%
Other values (141)	6851	37.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	16466	91.0%
Decimal Number	1084	6.0%
Other Letter	510	2.8%
Connector Punctuation	38	0.2%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
公	35	6.9%
限	32	6.3%
有	32	6.3%
司	32	6.3%
唯	28	5.5%
州	24	4.7%
服	21	4.1%
广	17	3.3%
饰	16	3.1%
适	14	2.7%
Other values (104)	259	50.8%

Lowercase Letter

Value	Count	Frequency (%)
a	1536	9.3%
n	1474	9.0%
i	1418	8.6%
e	1350	8.2%
o	1299	7.9%
s	959	5.8%
l	844	5.1%
h	816	5.0%
t	790	4.8%
g	761	4.6%
Other values (16)	5219	31.7%

Decimal Number

Value	Count	Frequency (%)
1	190	17.5%
6	154	14.2%
0	148	13.7%
8	126	11.6%
2	116	10.7%
5	84	7.7%
9	79	7.3%
3	66	6.1%
4	65	6.0%
7	56	5.2%

Connector Punctuation

Value	Count	Frequency (%)
_	38	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16466	91.0%
Common	1122	6.2%
Han	510	2.8%

Most frequent character per script

Han

Value	Count	Frequency (%)
公	35	6.9%
限	32	6.3%
有	32	6.3%
司	32	6.3%
唯	28	5.5%
州	24	4.7%
服	21	4.1%
广	17	3.3%
饰	16	3.1%
适	14	2.7%
Other values (104)	259	50.8%

Latin

Value	Count	Frequency (%)
a	1536	9.3%
n	1474	9.0%
i	1418	8.6%
e	1350	8.2%
o	1299	7.9%
s	959	5.8%
l	844	5.1%
h	816	5.0%
t	790	4.8%
g	761	4.6%
Other values (16)	5219	31.7%

Common

Value	Count	Frequency (%)
1	190	16.9%
6	154	13.7%
0	148	13.2%
8	126	11.2%
2	116	10.3%
5	84	7.5%
9	79	7.0%
3	66	5.9%
4	65	5.8%
7	56	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17588	97.2%
CJK	510	2.8%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1536	8.7%
n	1474	8.4%
i	1418	8.1%
e	1350	7.7%
o	1299	7.4%
s	959	5.5%
l	844	4.8%
h	816	4.6%
t	790	4.5%
g	761	4.3%
Other values (27)	6341	36.1%

CJK

Value	Count	Frequency (%)
公	35	6.9%
限	32	6.3%
有	32	6.3%
司	32	6.3%
唯	28	5.5%
州	24	4.7%
服	21	4.1%
广	17	3.3%
饰	16	3.1%
适	14	2.7%
Other values (104)	259	50.8%

merchant_info_subtitle
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1059
Distinct (%)	68.8%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

83 % avis positifs (32,168 notes)	13
86 % avis positifs (12,309 notes)	11
87 % avis positifs (42,919 notes)	8
86 % avis positifs (65,189 notes)	6
89 % avis positifs (55,499 notes)	6
Other values (1054)	1495

Length

Max length	54
Median length	53
Mean length	28.75308642
Min length	9

Characters and Unicode

Total characters	44251
Distinct characters	103
Distinct categories	11 ?
Distinct scripts	6 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	750 ?
Unique (%)	48.7%

Sample

1st row	(568 notes)
2nd row	83 % avis positifs (17,752 notes)
3rd row	86 % avis positifs (295 notes)
4th row	(23,832 notes)
5th row	85 % avis positifs (14,482 notes)

Common Values

Value	Count	Frequency (%)
83 % avis positifs (32,168 notes)	13	0.8%
86 % avis positifs (12,309 notes)	11	0.7%
87 % avis positifs (42,919 notes)	8	0.5%
86 % avis positifs (65,189 notes)	6	0.4%
89 % avis positifs (55,499 notes)	6	0.4%
85 % avis positifs (80,093 notes)	6	0.4%
84 % avis positifs (5,654 notes)	6	0.4%
84 % avis positifs (36,361 notes)	6	0.4%
82 % avis positifs (32,858 notes)	5	0.3%
89 % avis positifs (246,312 notes)	5	0.3%
Other values (1049)	1467	95.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
notes	1476	18.4%
avis	1191	14.9%
positifs	1191	14.9%
	1191	14.9%
86	138	1.7%
85	126	1.6%
87	112	1.4%
88	111	1.4%
84	101	1.3%
89	95	1.2%
Other values (972)	2279	28.4%

Most occurring characters

Value	Count	Frequency (%)
	6472	14.6%
s	5142	11.6%
i	3753	8.5%
t	2754	6.2%
o	2743	6.2%
8	1628	3.7%
e	1612	3.6%
n	1543	3.5%
(	1538	3.5%
)	1538	3.5%
Other values (93)	15528	35.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22973	51.9%
Decimal Number	9038	20.4%
Space Separator	6472	14.6%
Other Punctuation	2501	5.7%
Open Punctuation	1538	3.5%
Close Punctuation	1538	3.5%
Other Letter	123	0.3%
Uppercase Letter	57	0.1%
Nonspacing Mark	5	< 0.1%
Connector Punctuation	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	5142	22.4%
i	3753	16.3%
t	2754	12.0%
o	2743	11.9%
e	1612	7.0%
n	1543	6.7%
a	1301	5.7%
v	1232	5.4%
p	1221	5.3%
f	1208	5.3%
Other values (32)	464	2.0%

Other Letter

Value	Count	Frequency (%)
ي	12	9.8%
ف	8	6.5%
ا	8	6.5%
ت	8	6.5%
د	8	6.5%
و	4	3.3%
ج	4	3.3%
إ	4	3.3%
ค	4	3.3%
ช	4	3.3%
Other values (25)	59	48.0%

Decimal Number

Value	Count	Frequency (%)
8	1628	18.0%
1	1128	12.5%
9	913	10.1%
3	876	9.7%
2	867	9.6%
7	773	8.6%
5	770	8.5%
6	734	8.1%
4	698	7.7%
0	651	7.2%

Uppercase Letter

Value	Count	Frequency (%)
F	33	57.9%
P	18	31.6%
B	4	7.0%
O	1	1.8%
G	1	1.8%

Other Punctuation

Value	Count	Frequency (%)
,	1252	50.1%
%	1245	49.8%
:	4	0.2%

Nonspacing Mark

Value	Count	Frequency (%)
ิ	4	80.0%
្	1	20.0%

Spacing Mark

Value	Count	Frequency (%)
ា	2	66.7%
ៃ	1	33.3%

Space Separator

Value	Count	Frequency (%)
	6472	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1538	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1538	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22949	51.9%
Common	21090	47.7%
Arabic	84	0.2%
Cyrillic	81	0.2%
Thai	36	0.1%
Khmer	11	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	5142	22.4%
i	3753	16.4%
t	2754	12.0%
o	2743	12.0%
e	1612	7.0%
n	1543	6.7%
a	1301	5.7%
v	1232	5.4%
p	1221	5.3%
f	1208	5.3%
Other values (21)	440	1.9%

Common

Value	Count	Frequency (%)
	6472	30.7%
8	1628	7.7%
(	1538	7.3%
)	1538	7.3%
,	1252	5.9%
%	1245	5.9%
1	1128	5.3%
9	913	4.3%
3	876	4.2%
2	867	4.1%
Other values (7)	3633	17.2%

Cyrillic

Value	Count	Frequency (%)
о	12	14.8%
т	9	11.1%
ы	6	7.4%
л	6	7.4%
в	6	7.4%
и	6	7.4%
е	6	7.4%
н	6	7.4%
г	3	3.7%
й	3	3.7%
Other values (6)	18	22.2%

Arabic

Value	Count	Frequency (%)
ي	12	14.3%
ف	8	9.5%
ا	8	9.5%
ت	8	9.5%
د	8	9.5%
و	4	4.8%
ج	4	4.8%
إ	4	4.8%
ب	4	4.8%
ع	4	4.8%
Other values (5)	20	23.8%

Thai

Value	Count	Frequency (%)
ค	4	11.1%
ิ	4	11.1%
ช	4	11.1%
น	4	11.1%
แ	2	5.6%
เ	2	5.6%
ำ	2	5.6%
ต	2	5.6%
ม	2	5.6%
ะ	2	5.6%
Other values (4)	8	22.2%

Khmer

Value	Count	Frequency (%)
ា	2	18.2%
ក	1	9.1%
រ	1	9.1%
វ	1	9.1%
យ	1	9.1%
ត	1	9.1%
ម	1	9.1%
្	1	9.1%
ល	1	9.1%
ៃ	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44016	99.5%
Arabic	84	0.2%
Cyrillic	81	0.2%
Thai	36	0.1%
None	23	0.1%
Khmer	11	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6472	14.7%
s	5142	11.7%
i	3753	8.5%
t	2754	6.3%
o	2743	6.2%
8	1628	3.7%
e	1612	3.7%
n	1543	3.5%
(	1538	3.5%
)	1538	3.5%
Other values (35)	15293	34.7%

Arabic

Value	Count	Frequency (%)
ي	12	14.3%
ف	8	9.5%
ا	8	9.5%
ت	8	9.5%
د	8	9.5%
و	4	4.8%
ج	4	4.8%
إ	4	4.8%
ب	4	4.8%
ع	4	4.8%
Other values (5)	20	23.8%

Cyrillic

Value	Count	Frequency (%)
о	12	14.8%
т	9	11.1%
ы	6	7.4%
л	6	7.4%
в	6	7.4%
и	6	7.4%
е	6	7.4%
н	6	7.4%
г	3	3.7%
й	3	3.7%
Other values (6)	18	22.2%

None

Value	Count	Frequency (%)
õ	9	39.1%
ç	9	39.1%
ó	5	21.7%

Thai

Value	Count	Frequency (%)
ค	4	11.1%
ิ	4	11.1%
ช	4	11.1%
น	4	11.1%
แ	2	5.6%
เ	2	5.6%
ำ	2	5.6%
ต	2	5.6%
ม	2	5.6%
ะ	2	5.6%
Other values (4)	8	22.2%

Khmer

Value	Count	Frequency (%)
ា	2	18.2%
ក	1	9.1%
រ	1	9.1%
វ	1	9.1%
យ	1	9.1%
ត	1	9.1%
ម	1	9.1%
្	1	9.1%
ល	1	9.1%
ៃ	1	9.1%

merchant_rating_count
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	917
Distinct (%)	59.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26772.08512

Minimum	0
Maximum	2174765
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	0
5-th percentile	88.9
Q1	2052.5
median	8197
Q3	24564
95-th percentile	105015
Maximum	2174765
Range	2174765
Interquartile range (IQR)	22511.5

Descriptive statistics

Standard deviation	79191.41272
Coefficient of variation (CV)	2.957984496
Kurtosis	374.4381396
Mean	26772.08512
Median Absolute Deviation (MAD)	7527
Skewness	15.79151466
Sum	41202239
Variance	6271279849
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32168	14	0.9%
12309	12	0.8%
42919	8	0.5%
10600	8	0.5%
88193	8	0.5%
80093	8	0.5%
55499	7	0.5%
17752	6	0.4%
65189	6	0.4%
5654	6	0.4%
Other values (907)	1456	94.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	0.1%
3	2	0.1%
4	2	0.1%
6	4	0.3%
8	1	0.1%
9	1	0.1%
13	2	0.1%
17	1	0.1%
18	2	0.1%
21	3	0.2%

Value	Count	Frequency (%)
2174765	1	0.1%
839882	3	0.2%
402743	3	0.2%
366898	1	0.1%
330405	1	0.1%
320031	2	0.1%
295161	1	0.1%
253249	1	0.1%
246312	5	0.3%
230951	1	0.1%

merchant_rating
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	952
Distinct (%)	61.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.034835989

Minimum	2.333333333
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	2.333333333
5-th percentile	3.713646307
Q1	3.923267732
median	4.045170201
Q3	4.165040009
95-th percentile	4.325339738
Maximum	5
Range	2.666666667
Interquartile range (IQR)	0.2417722777

Descriptive statistics

Standard deviation	0.2033421338
Coefficient of variation (CV)	0.05039662933
Kurtosis	5.51984589
Mean	4.034835989
Median Absolute Deviation (MAD)	0.1208126416
Skewness	-1.045650434
Sum	6209.612587
Variance	0.04134802337
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.884543646	14	0.9%
4.045170201	12	0.8%
4.00669222	8	0.5%
4.080890774	8	0.5%
4.105967054	8	0.5%
3.86754717	8	0.5%
4.138885385	7	0.5%
4.121483743	6	0.4%
4.049640277	6	0.4%
3.899673276	6	0.4%
Other values (942)	1456	94.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.333333333	1	0.1%
2.941176471	1	0.1%
3	1	0.1%
3.034482759	1	0.1%
3.038961039	1	0.1%
3.186046512	2	0.1%
3.1875	1	0.1%
3.25	1	0.1%
3.298507463	1	0.1%
3.338289963	1	0.1%

Value	Count	Frequency (%)
5	1	0.1%
4.57751938	1	0.1%
4.521865889	1	0.1%
4.5125	1	0.1%
4.501472031	1	0.1%
4.5	2	0.1%
4.486631016	1	0.1%
4.484396671	1	0.1%
4.471017515	1	0.1%
4.466019417	1	0.1%

merchant_id
Categorical

HIGH CARDINALITY

Distinct	958
Distinct (%)	62.2%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

558c2cdc89d53c4005ea2920	14
5acaf29d5ebcfd72403106a8	12
582833faea77701b456c786a	8
564d8a9ac0f55a1276cd96f8	8
5533c83986ff95173dc017d0	8
Other values (953)	1489

Length

Max length	24
Median length	24
Mean length	24
Min length	24

Characters and Unicode

Total characters	36936
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	642 ?
Unique (%)	41.7%

Sample

1st row	595097d6a26f6e070cb878d1
2nd row	56458aa03a698c35c9050988
3rd row	5d464a1ffdf7bc44ee933c65
4th row	58cfdefdacb37b556efdff7c
5th row	5ab3b592c3911a095ad5dadb

Common Values

Value	Count	Frequency (%)
558c2cdc89d53c4005ea2920	14	0.9%
5acaf29d5ebcfd72403106a8	12	0.8%
582833faea77701b456c786a	8	0.5%
564d8a9ac0f55a1276cd96f8	8	0.5%
5533c83986ff95173dc017d0	8	0.5%
583138b06339b410ab9663ec	8	0.5%
5926c5ace8ff5525241b368d	7	0.5%
57b03628c676b3573ba2a081	6	0.4%
56fba259138ef73c2a749a56	6	0.4%
5b160017daac45594728d9ba	6	0.4%
Other values (948)	1456	94.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
558c2cdc89d53c4005ea2920	14	0.9%
5acaf29d5ebcfd72403106a8	12	0.8%
582833faea77701b456c786a	8	0.5%
564d8a9ac0f55a1276cd96f8	8	0.5%
5533c83986ff95173dc017d0	8	0.5%
583138b06339b410ab9663ec	8	0.5%
5926c5ace8ff5525241b368d	7	0.5%
583da4b58108913e6c79a32e	6	0.4%
5639cd9bddb94f103070ef9f	6	0.4%
55c8a4c33a698c6010edcd9e	6	0.4%
Other values (948)	1456	94.6%

Most occurring characters

Value	Count	Frequency (%)
5	3927	10.6%
8	2396	6.5%
6	2384	6.5%
0	2372	6.4%
7	2317	6.3%
1	2285	6.2%
3	2268	6.1%
4	2214	6.0%
a	2200	6.0%
c	2169	5.9%
Other values (6)	12404	33.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	24372	66.0%
Lowercase Letter	12564	34.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	3927	16.1%
8	2396	9.8%
6	2384	9.8%
0	2372	9.7%
7	2317	9.5%
1	2285	9.4%
3	2268	9.3%
4	2214	9.1%
9	2131	8.7%
2	2078	8.5%

Lowercase Letter

Value	Count	Frequency (%)
a	2200	17.5%
c	2169	17.3%
d	2167	17.2%
e	2104	16.7%
b	2057	16.4%
f	1867	14.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	24372	66.0%
Latin	12564	34.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	3927	16.1%
8	2396	9.8%
6	2384	9.8%
0	2372	9.7%
7	2317	9.5%
1	2285	9.4%
3	2268	9.3%
4	2214	9.1%
9	2131	8.7%
2	2078	8.5%

Latin

Value	Count	Frequency (%)
a	2200	17.5%
c	2169	17.3%
d	2167	17.2%
e	2104	16.7%
b	2057	16.4%
f	1867	14.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36936	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	3927	10.6%
8	2396	6.5%
6	2384	6.5%
0	2372	6.4%
7	2317	6.3%
1	2285	6.2%
3	2268	6.1%
4	2214	6.0%
a	2200	6.0%
c	2169	5.9%
Other values (6)	12404	33.6%

merchant_has_profile_picture
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

0	1314
1	225

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1539
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1314	85.4%
1	225	14.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1314	85.4%
1	225	14.6%

Most occurring characters

Value	Count	Frequency (%)
0	1314	85.4%
1	225	14.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1539	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1314	85.4%
1	225	14.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1539	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1314	85.4%
1	225	14.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1314	85.4%
1	225	14.6%

product_url
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1341
Distinct (%)	87.1%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

https://www.wish.com/c/5cd3e32fd908537780580e43	2
https://www.wish.com/c/5ebbd192c1b69c3de34286cc	2
https://www.wish.com/c/5eb38309fa6f111ca122bed4	2
https://www.wish.com/c/5ec1ffa502f451526044f724	2
https://www.wish.com/c/5ed9de39b6befd33de8dd908	2
Other values (1336)	1529

Length

Max length	47
Median length	47
Mean length	47
Min length	47

Characters and Unicode

Total characters	72333
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1143 ?
Unique (%)	74.3%

Sample

1st row	https://www.wish.com/c/5e9ae51d43d6a96e303acdb0
2nd row	https://www.wish.com/c/58940d436a0d3d5da4e95a38
3rd row	https://www.wish.com/c/5ea10e2c617580260d55310a
4th row	https://www.wish.com/c/5cedf17ad1d44c52c59e4aca
5th row	https://www.wish.com/c/5ebf5819ebac372b070b0e70

Common Values

Value	Count	Frequency (%)
https://www.wish.com/c/5cd3e32fd908537780580e43	2	0.1%
https://www.wish.com/c/5ebbd192c1b69c3de34286cc	2	0.1%
https://www.wish.com/c/5eb38309fa6f111ca122bed4	2	0.1%
https://www.wish.com/c/5ec1ffa502f451526044f724	2	0.1%
https://www.wish.com/c/5ed9de39b6befd33de8dd908	2	0.1%
https://www.wish.com/c/5cee1ddd050d347f75e6668e	2	0.1%
https://www.wish.com/c/5cabfcdc32227053f6254ee6	2	0.1%
https://www.wish.com/c/5e943811e6cd6f1680c64414	2	0.1%
https://www.wish.com/c/5edf3082e066d71501a40c73	2	0.1%
https://www.wish.com/c/5df202bb707508021388614a	2	0.1%
Other values (1331)	1519	98.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.wish.com/c/5cd3e32fd908537780580e43	2	0.1%
https://www.wish.com/c/5e12c01191235958ecdd6285	2	0.1%
https://www.wish.com/c/5e9dad8cbc19c300417e1733	2	0.1%
https://www.wish.com/c/5b6021aee07ac6197df2d097	2	0.1%
https://www.wish.com/c/5eb63e65f98a3634f4d430b3	2	0.1%
https://www.wish.com/c/5d8d8f2e0c400f2f97671e30	2	0.1%
https://www.wish.com/c/5ca084765e18c31890903f2a	2	0.1%
https://www.wish.com/c/5cc01186416a307424603aba	2	0.1%
https://www.wish.com/c/5ec39565bb9e684ea7371e7c	2	0.1%
https://www.wish.com/c/5d03176da8c15d5e4b5171e4	2	0.1%
Other values (1331)	1519	98.7%

Most occurring characters

Value	Count	Frequency (%)
/	6156	8.5%
w	6156	8.5%
c	5485	7.6%
5	3612	5.0%
h	3078	4.3%
s	3078	4.3%
.	3078	4.3%
t	3078	4.3%
e	2714	3.8%
0	2380	3.3%
Other values (17)	33518	46.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38301	53.0%
Decimal Number	23259	32.2%
Other Punctuation	10773	14.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	6156	16.1%
c	5485	14.3%
h	3078	8.0%
s	3078	8.0%
t	3078	8.0%
e	2714	7.1%
d	2291	6.0%
b	2257	5.9%
a	2059	5.4%
f	1949	5.1%
Other values (4)	6156	16.1%

Decimal Number

Value	Count	Frequency (%)
5	3612	15.5%
0	2380	10.2%
1	2251	9.7%
2	2232	9.6%
4	2194	9.4%
3	2133	9.2%
9	2130	9.2%
7	2130	9.2%
6	2115	9.1%
8	2082	9.0%

Other Punctuation

Value	Count	Frequency (%)
/	6156	57.1%
.	3078	28.6%
:	1539	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38301	53.0%
Common	34032	47.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	6156	16.1%
c	5485	14.3%
h	3078	8.0%
s	3078	8.0%
t	3078	8.0%
e	2714	7.1%
d	2291	6.0%
b	2257	5.9%
a	2059	5.4%
f	1949	5.1%
Other values (4)	6156	16.1%

Common

Value	Count	Frequency (%)
/	6156	18.1%
5	3612	10.6%
.	3078	9.0%
0	2380	7.0%
1	2251	6.6%
2	2232	6.6%
4	2194	6.4%
3	2133	6.3%
9	2130	6.3%
7	2130	6.3%
Other values (3)	5736	16.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72333	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	6156	8.5%
w	6156	8.5%
c	5485	7.6%
5	3612	5.0%
h	3078	4.3%
s	3078	4.3%
.	3078	4.3%
t	3078	4.3%
e	2714	3.8%
0	2380	3.3%
Other values (17)	33518	46.3%

product_picture
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1341
Distinct (%)	87.1%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

https://contestimg.wish.com/api/webimage/5cd3e32fd908537780580e43-medium.jpg	2
https://contestimg.wish.com/api/webimage/5ebbd192c1b69c3de34286cc-medium.jpg	2
https://contestimg.wish.com/api/webimage/5eb38309fa6f111ca122bed4-medium.jpg	2
https://contestimg.wish.com/api/webimage/5ec1ffa502f451526044f724-medium.jpg	2
https://contestimg.wish.com/api/webimage/5ed9de39b6befd33de8dd908-medium.jpg	2
Other values (1336)	1529

Length

Max length	76
Median length	76
Mean length	76
Min length	76

Characters and Unicode

Total characters	116964
Distinct characters	32
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1143 ?
Unique (%)	74.3%

Sample

1st row	https://contestimg.wish.com/api/webimage/5e9ae51d43d6a96e303acdb0-medium.jpg
2nd row	https://contestimg.wish.com/api/webimage/58940d436a0d3d5da4e95a38-medium.jpg
3rd row	https://contestimg.wish.com/api/webimage/5ea10e2c617580260d55310a-medium.jpg
4th row	https://contestimg.wish.com/api/webimage/5cedf17ad1d44c52c59e4aca-medium.jpg
5th row	https://contestimg.wish.com/api/webimage/5ebf5819ebac372b070b0e70-medium.jpg

Common Values

Value	Count	Frequency (%)
https://contestimg.wish.com/api/webimage/5cd3e32fd908537780580e43-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5ebbd192c1b69c3de34286cc-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5eb38309fa6f111ca122bed4-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5ec1ffa502f451526044f724-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5ed9de39b6befd33de8dd908-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5cee1ddd050d347f75e6668e-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5cabfcdc32227053f6254ee6-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5e943811e6cd6f1680c64414-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5edf3082e066d71501a40c73-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5df202bb707508021388614a-medium.jpg	2	0.1%
Other values (1331)	1519	98.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://contestimg.wish.com/api/webimage/5cd3e32fd908537780580e43-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5e12c01191235958ecdd6285-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5e9dad8cbc19c300417e1733-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5b6021aee07ac6197df2d097-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5eb63e65f98a3634f4d430b3-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5d8d8f2e0c400f2f97671e30-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5ca084765e18c31890903f2a-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5cc01186416a307424603aba-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5ec39565bb9e684ea7371e7c-medium.jpg	2	0.1%
https://contestimg.wish.com/api/webimage/5d03176da8c15d5e4b5171e4-medium.jpg	2	0.1%
Other values (1331)	1519	98.7%

Most occurring characters

Value	Count	Frequency (%)
e	8870	7.6%
/	7695	6.6%
i	7695	6.6%
m	7695	6.6%
t	6156	5.3%
c	5485	4.7%
a	5137	4.4%
p	4617	3.9%
s	4617	3.9%
g	4617	3.9%
Other values (22)	54380	46.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	78315	67.0%
Decimal Number	23259	19.9%
Other Punctuation	13851	11.8%
Dash Punctuation	1539	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8870	11.3%
i	7695	9.8%
m	7695	9.8%
t	6156	7.9%
c	5485	7.0%
a	5137	6.6%
p	4617	5.9%
s	4617	5.9%
g	4617	5.9%
d	3830	4.9%
Other values (8)	19596	25.0%

Decimal Number

Value	Count	Frequency (%)
5	3612	15.5%
0	2380	10.2%
1	2251	9.7%
2	2232	9.6%
4	2194	9.4%
3	2133	9.2%
9	2130	9.2%
7	2130	9.2%
6	2115	9.1%
8	2082	9.0%

Other Punctuation

Value	Count	Frequency (%)
/	7695	55.6%
.	4617	33.3%
:	1539	11.1%

Dash Punctuation

Value	Count	Frequency (%)
-	1539	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	78315	67.0%
Common	38649	33.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8870	11.3%
i	7695	9.8%
m	7695	9.8%
t	6156	7.9%
c	5485	7.0%
a	5137	6.6%
p	4617	5.9%
s	4617	5.9%
g	4617	5.9%
d	3830	4.9%
Other values (8)	19596	25.0%

Common

Value	Count	Frequency (%)
/	7695	19.9%
.	4617	11.9%
5	3612	9.3%
0	2380	6.2%
1	2251	5.8%
2	2232	5.8%
4	2194	5.7%
3	2133	5.5%
9	2130	5.5%
7	2130	5.5%
Other values (4)	7275	18.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	116964	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8870	7.6%
/	7695	6.6%
i	7695	6.6%
m	7695	6.6%
t	6156	5.3%
c	5485	4.7%
a	5137	4.4%
p	4617	3.9%
s	4617	3.9%
g	4617	3.9%
Other values (22)	54380	46.5%

product_id
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1341
Distinct (%)	87.1%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

5cd3e32fd908537780580e43	2
5ebbd192c1b69c3de34286cc	2
5eb38309fa6f111ca122bed4	2
5ec1ffa502f451526044f724	2
5ed9de39b6befd33de8dd908	2
Other values (1336)	1529

Length

Max length	24
Median length	24
Mean length	24
Min length	24

Characters and Unicode

Total characters	36936
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1143 ?
Unique (%)	74.3%

Sample

1st row	5e9ae51d43d6a96e303acdb0
2nd row	58940d436a0d3d5da4e95a38
3rd row	5ea10e2c617580260d55310a
4th row	5cedf17ad1d44c52c59e4aca
5th row	5ebf5819ebac372b070b0e70

Common Values

Value	Count	Frequency (%)
5cd3e32fd908537780580e43	2	0.1%
5ebbd192c1b69c3de34286cc	2	0.1%
5eb38309fa6f111ca122bed4	2	0.1%
5ec1ffa502f451526044f724	2	0.1%
5ed9de39b6befd33de8dd908	2	0.1%
5cee1ddd050d347f75e6668e	2	0.1%
5cabfcdc32227053f6254ee6	2	0.1%
5e943811e6cd6f1680c64414	2	0.1%
5edf3082e066d71501a40c73	2	0.1%
5df202bb707508021388614a	2	0.1%
Other values (1331)	1519	98.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
5cd3e32fd908537780580e43	2	0.1%
5e12c01191235958ecdd6285	2	0.1%
5e9dad8cbc19c300417e1733	2	0.1%
5b6021aee07ac6197df2d097	2	0.1%
5eb63e65f98a3634f4d430b3	2	0.1%
5d8d8f2e0c400f2f97671e30	2	0.1%
5ca084765e18c31890903f2a	2	0.1%
5cc01186416a307424603aba	2	0.1%
5ec39565bb9e684ea7371e7c	2	0.1%
5d03176da8c15d5e4b5171e4	2	0.1%
Other values (1331)	1519	98.7%

Most occurring characters

Value	Count	Frequency (%)
5	3612	9.8%
e	2714	7.3%
c	2407	6.5%
0	2380	6.4%
d	2291	6.2%
b	2257	6.1%
1	2251	6.1%
2	2232	6.0%
4	2194	5.9%
3	2133	5.8%
Other values (6)	12465	33.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	23259	63.0%
Lowercase Letter	13677	37.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	3612	15.5%
0	2380	10.2%
1	2251	9.7%
2	2232	9.6%
4	2194	9.4%
3	2133	9.2%
9	2130	9.2%
7	2130	9.2%
6	2115	9.1%
8	2082	9.0%

Lowercase Letter

Value	Count	Frequency (%)
e	2714	19.8%
c	2407	17.6%
d	2291	16.8%
b	2257	16.5%
a	2059	15.1%
f	1949	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	23259	63.0%
Latin	13677	37.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	3612	15.5%
0	2380	10.2%
1	2251	9.7%
2	2232	9.6%
4	2194	9.4%
3	2133	9.2%
9	2130	9.2%
7	2130	9.2%
6	2115	9.1%
8	2082	9.0%

Latin

Value	Count	Frequency (%)
e	2714	19.8%
c	2407	17.6%
d	2291	16.8%
b	2257	16.5%
a	2059	15.1%
f	1949	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36936	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	3612	9.8%
e	2714	7.3%
c	2407	6.5%
0	2380	6.4%
d	2291	6.2%
b	2257	6.1%
1	2251	6.1%
2	2232	6.0%
4	2194	5.9%
3	2133	5.8%
Other values (6)	12465	33.7%

num_listings
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.498375569

Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	12.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	14
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.125874094
Coefficient of variation (CV)	0.8509025306
Kurtosis	9.395458637
Mean	2.498375569
Median Absolute Deviation (MAD)	1
Skewness	2.629782527
Sum	3845
Variance	4.519340662
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	642	41.7%
2	374	24.3%
4	180	11.7%
3	171	11.1%
5	65	4.2%
6	42	2.7%
8	32	2.1%
14	14	0.9%
12	12	0.8%
7	7	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	642	41.7%
2	374	24.3%
3	171	11.1%
4	180	11.7%
5	65	4.2%
6	42	2.7%
7	7	0.5%
8	32	2.1%
12	12	0.8%
14	14	0.9%

Value	Count	Frequency (%)
14	14	0.9%
12	12	0.8%
8	32	2.1%
7	7	0.5%
6	42	2.7%
5	65	4.2%
4	180	11.7%
3	171	11.1%
2	374	24.3%
1	642	41.7%

tag_list
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	1230
Distinct (%)	79.9%
Missing	0
Missing (%)	0.0%
Memory size	12.1 KiB

['Summer', 'Fashion', 'Necks', 'Skirts', 'Dress', 'Loose', "Women's Fashion", 'Round neck', 'beach dress', 'sleeveless', 'Beach', 'Casual', 'Women']	15
['Summer', 'Sling', 'Dresses', 'Dress', 'V-neck', 'Casual', 'Pocket', "Women's Fashion", 'Sleeveless dress', 'women dress', 'Floral', 'sleeveless', 'Women', 'loose dress', 'Pleated', 'casual dress']	9
['slimming', 'wasitcincher', 'Fashion', 'waistgirdle', 'slimmingcorset', 'Corset', 'Summer', 'Waist', 'waist trainer', 'Fashion Accessory', 'Vest', 'shaperwear', 'belt']	8
['Summer', 'Fashion', 'Necks', 'Beach', 'Dress', 'Loose', 'beach dress', 'Round neck', "Women's Fashion", 'sleeveless', 'Skirts', 'Casual', 'Women']	7
['Summer', 'Women Rompers', 'Plus Size', 'women long pants', 'linenjumpsuit', 'pants', 'Overalls', 'Loose', 'plussizejumpsuit', "Women's Fashion", 'strappant', 'Long pants', 'Jumpsuits & Rompers', 'rompers womens jumpsuit', 'Vintage', 'Women', 'women Jumpsuit', 'Casual', 'jumpsuit']	6
Other values (1225)	1494

Length

Max length	512
Median length	311
Mean length	222.5640026
Min length	86

Characters and Unicode

Total characters	342526
Distinct characters	88
Distinct categories	10 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1014 ?
Unique (%)	65.9%

Sample

1st row	['Summer', 'Fashion', 'womenunderwearsuit', 'printedpajamasset', 'womencasualshort', "Women's Fashion", 'flamingo', 'loungewearset', 'Casual', 'Shirt', 'casualsleepwear', 'Shorts', 'flamingotshirt', 'Elastic', 'Vintage', 'Tops', 'tshirtandshortsset', 'Women', 'Sleepwear', 'Print', 'womenpajamasset', 'womennightwear', 'Pajamas', 'womensleepwearset']
2nd row	['Mini', 'womens dresses', 'Summer', 'Patchwork', 'fashion dress', 'Dress', 'Mini dress', "Women's Fashion", 'Women S Clothing', 'backless', 'party', 'summer dresses', 'sleeveless', 'sexy', 'Casual']
3rd row	['Summer', 'cardigan', 'women beachwear', 'chiffon', 'Sexy women', 'Coat', 'summercardigan', 'openfront', 'short sleeves', 'Swimsuit', "Women's Fashion", 'leaf', 'Green', 'printed', 'Spring', 'longcardigan', 'Women', 'Beach', 'kimono']
4th row	['Summer', 'Shorts', 'Cotton', 'Cotton T Shirt', 'Sleeve', 'printedletterstop', 'Clothing', 'Tops', 'Necks', 'short sleeves', "Women's Fashion", 'Women Clothing', 'printed', 'Women', 'tshirtforwomen', 'Fashion', 'T Shirts', 'Shirt']
5th row	['Summer', 'Plus Size', 'Lace', 'Casual pants', 'Bottom', 'pants', 'Loose', "Women's Fashion", 'Shorts', 'Lace Up', 'Elastic', 'Casual', 'Women']

Common Values

Value	Count	Frequency (%)
['Summer', 'Fashion', 'Necks', 'Skirts', 'Dress', 'Loose', "Women's Fashion", 'Round neck', 'beach dress', 'sleeveless', 'Beach', 'Casual', 'Women']	15	1.0%
['Summer', 'Sling', 'Dresses', 'Dress', 'V-neck', 'Casual', 'Pocket', "Women's Fashion", 'Sleeveless dress', 'women dress', 'Floral', 'sleeveless', 'Women', 'loose dress', 'Pleated', 'casual dress']	9	0.6%
['slimming', 'wasitcincher', 'Fashion', 'waistgirdle', 'slimmingcorset', 'Corset', 'Summer', 'Waist', 'waist trainer', 'Fashion Accessory', 'Vest', 'shaperwear', 'belt']	8	0.5%
['Summer', 'Fashion', 'Necks', 'Beach', 'Dress', 'Loose', 'beach dress', 'Round neck', "Women's Fashion", 'sleeveless', 'Skirts', 'Casual', 'Women']	7	0.5%
['Summer', 'Women Rompers', 'Plus Size', 'women long pants', 'linenjumpsuit', 'pants', 'Overalls', 'Loose', 'plussizejumpsuit', "Women's Fashion", 'strappant', 'Long pants', 'Jumpsuits & Rompers', 'rompers womens jumpsuit', 'Vintage', 'Women', 'women Jumpsuit', 'Casual', 'jumpsuit']	6	0.4%
['Summer', 'Leggings', 'Fashion', 'high waist', 'pants', 'slim', "Women's Fashion", 'trousers', 'Green', 'Army', 'Women']	6	0.4%
['Summer', 'short sleeve dress', 'neck dress', 'Necks', 'Sleeve', 'Beach', 'Dress', 'Loose', 'short sleeves', 'V-neck', 'Shorts', 'beach dress', 'Plus Size', 'Midi Dress', 'summer dress', 'Print', 'Pullovers', "Women's Fashion", 'Casual', 'Women']	6	0.4%
['pajamaset', 'Fashion', 'sexy pajamas for womens', 'silksleepwearforwomen', 'silksleepwear', 'pajamassuit', 'Casual', "Women's Fashion", 'Summer', 'Sleepwear', 'pajamasforwomen', 'silksleepwearnightgown', 'silk', 'pajamassleepwear', "women's pajamas", 'Women']	5	0.3%
['Summer', 'Shorts', 'high waist shorts', 'high waist', 'Casual pants', 'pants', 'summer shorts', 'Waist', 'Slim Fit', 'Short pants', "Women's Fashion", 'Plus Size', 'Lace Up', 'Women', 'Fashion', 'Casual', 'Lace']	5	0.3%
['Mini', 'womens dresses', 'Summer', 'sleevele', 'Dress', 'Mini dress', "Women's Fashion", 'Fashion', 'backless', 'party', 'sexy', 'summer dresses', 'Women S Clothing', 'Casual', 'sleeveless']	5	0.3%
Other values (1220)	1467	95.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
fashion	2761	7.4%
dress	2659	7.1%
women	1919	5.2%
summer	1828	4.9%
women's	1336	3.6%
casual	1193	3.2%
tops	815	2.2%
sleeveless	809	2.2%
shorts	730	2.0%
size	696	1.9%
Other values (2097)	22490	60.4%

Most occurring characters

Value	Count	Frequency (%)
'	52148	15.2%
	35704	10.4%
s	28513	8.3%
e	25958	7.6%
,	25251	7.4%
o	16404	4.8%
r	13699	4.0%
n	13594	4.0%
i	13353	3.9%
a	12965	3.8%
Other values (78)	104937	30.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	200773	58.6%
Other Punctuation	80451	23.5%
Space Separator	35704	10.4%
Uppercase Letter	21810	6.4%
Close Punctuation	1539	0.4%
Open Punctuation	1539	0.4%
Dash Punctuation	621	0.2%
Decimal Number	80	< 0.1%
Other Letter	5	< 0.1%
Connector Punctuation	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	28513	14.2%
e	25958	12.9%
o	16404	8.2%
r	13699	6.8%
n	13594	6.8%
i	13353	6.7%
a	12965	6.5%
t	12578	6.3%
m	10037	5.0%
l	9390	4.7%
Other values (29)	44282	22.1%

Uppercase Letter

Value	Count	Frequency (%)
S	5431	24.9%
F	3277	15.0%
W	2808	12.9%
C	1700	7.8%
T	1534	7.0%
P	1457	6.7%
D	1228	5.6%
L	869	4.0%
B	774	3.5%
V	629	2.9%
Other values (14)	2103	9.6%

Decimal Number

Value	Count	Frequency (%)
2	25	31.2%
3	19	23.8%
4	9	11.2%
0	9	11.2%
1	8	10.0%
5	3	3.8%
9	3	3.8%
7	2	2.5%
8	2	2.5%

Other Punctuation

Value	Count	Frequency (%)
'	52148	64.8%
,	25251	31.4%
"	2864	3.6%
&	165	0.2%
#	21	< 0.1%
/	2	< 0.1%

Other Letter

Value	Count	Frequency (%)
子	1	20.0%
帽	1	20.0%
の	1	20.0%
師	1	20.0%
漁	1	20.0%

Space Separator

Value	Count	Frequency (%)
	35704	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	1539	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	1539	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	621	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	222571	65.0%
Common	119938	35.0%
Cyrillic	12	< 0.1%
Han	4	< 0.1%
Hiragana	1	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	28513	12.8%
e	25958	11.7%
o	16404	7.4%
r	13699	6.2%
n	13594	6.1%
i	13353	6.0%
a	12965	5.8%
t	12578	5.7%
m	10037	4.5%
l	9390	4.2%
Other values (41)	66080	29.7%

Common

Value	Count	Frequency (%)
'	52148	43.5%
	35704	29.8%
,	25251	21.1%
"	2864	2.4%
]	1539	1.3%
[	1539	1.3%
-	621	0.5%
&	165	0.1%
2	25	< 0.1%
#	21	< 0.1%
Other values (10)	61	0.1%

Cyrillic

Value	Count	Frequency (%)
т	1	8.3%
и	1	8.3%
к	1	8.3%
с	1	8.3%
ж	1	8.3%
у	1	8.3%
м	1	8.3%
ы	1	8.3%
о	1	8.3%
р	1	8.3%
Other values (2)	2	16.7%

Han

Value	Count	Frequency (%)
子	1	25.0%
帽	1	25.0%
師	1	25.0%
漁	1	25.0%

Hiragana

Value	Count	Frequency (%)
の	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	342508	> 99.9%
Cyrillic	12	< 0.1%
CJK	4	< 0.1%
None	1	< 0.1%
Hiragana	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	52148	15.2%
	35704	10.4%
s	28513	8.3%
e	25958	7.6%
,	25251	7.4%
o	16404	4.8%
r	13699	4.0%
n	13594	4.0%
i	13353	3.9%
a	12965	3.8%
Other values (60)	104919	30.6%

Cyrillic

Value	Count	Frequency (%)
т	1	8.3%
и	1	8.3%
к	1	8.3%
с	1	8.3%
ж	1	8.3%
у	1	8.3%
м	1	8.3%
ы	1	8.3%
о	1	8.3%
р	1	8.3%
Other values (2)	2	16.7%

None

Value	Count	Frequency (%)
é	1	100.0%

CJK

Value	Count	Frequency (%)
子	1	25.0%
帽	1	25.0%
師	1	25.0%
漁	1	25.0%

Hiragana

Value	Count	Frequency (%)
の	1	100.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	title	title_orig	price	retail_price	units_sold	uses_ad_boosts	rating	rating_count	rating_five_count	rating_four_count	rating_three_count	rating_two_count	rating_one_count	tags	product_color	product_variation_size_id	product_variation_inventory	shipping_option_price	countries_shipped_to	inventory_total	has_urgency_banner	origin_country	merchant_title	merchant_name	merchant_info_subtitle	merchant_rating_count	merchant_rating	merchant_id	merchant_has_profile_picture	product_url	product_picture	product_id	num_listings	tag_list
0	2020 Summer Vintage Flamingo Print Pajamas Set Casual Loose T Shirt Top And Elastic Shorts Women Sleepwear Night Wear Loungewear Sets	2020 Summer Vintage Flamingo Print Pajamas Set Casual Loose T Shirt Top And Elastic Shorts Women Sleepwear Night Wear Loungewear Sets	16.00	14	100	0	3.76	54	26.0	8.0	8.0	1.0	9.0	Summer,Fashion,womenunderwearsuit,printedpajamasset,womencasualshort,Women's Fashion,flamingo,loungewearset,Casual,Shirt,casualsleepwear,Shorts,flamingotshirt,Elastic,Vintage,Tops,tshirtandshortsset,Women,Sleepwear,Print,womenpajamasset,womennightwear,Pajamas,womensleepwearset	white	M	50	4	34	50	1	CN	zgrdejia	zgrdejia	(568 notes)	568	4.128521	595097d6a26f6e070cb878d1	0	https://www.wish.com/c/5e9ae51d43d6a96e303acdb0	https://contestimg.wish.com/api/webimage/5e9ae51d43d6a96e303acdb0-medium.jpg	5e9ae51d43d6a96e303acdb0	1	['Summer', 'Fashion', 'womenunderwearsuit', 'printedpajamasset', 'womencasualshort', "Women's Fashion", 'flamingo', 'loungewearset', 'Casual', 'Shirt', 'casualsleepwear', 'Shorts', 'flamingotshirt', 'Elastic', 'Vintage', 'Tops', 'tshirtandshortsset', 'Women', 'Sleepwear', 'Print', 'womenpajamasset', 'womennightwear', 'Pajamas', 'womensleepwearset']
1	SSHOUSE Summer Casual Sleeveless Soirée Party Soirée sans manches Vêtements de plage sexy Mini robe femme wshC1612242400387A21	Women's Casual Summer Sleeveless Sexy Mini Dress	8.00	22	20000	1	3.45	6135	2269.0	1027.0	1027.0	644.0	1077.0	Mini,womens dresses,Summer,Patchwork,fashion dress,Dress,Mini dress,Women's Fashion,Women S Clothing,backless,party,summer dresses,sleeveless,sexy,Casual	green	XS	50	2	41	50	1	CN	SaraHouse	sarahouse	83 % avis positifs (17,752 notes)	17752	3.899673	56458aa03a698c35c9050988	0	https://www.wish.com/c/58940d436a0d3d5da4e95a38	https://contestimg.wish.com/api/webimage/58940d436a0d3d5da4e95a38-medium.jpg	58940d436a0d3d5da4e95a38	6	['Mini', 'womens dresses', 'Summer', 'Patchwork', 'fashion dress', 'Dress', 'Mini dress', "Women's Fashion", 'Women S Clothing', 'backless', 'party', 'summer dresses', 'sleeveless', 'sexy', 'Casual']
2	2020 Nouvelle Arrivée Femmes Printemps et Été Plage Porter Longue Mince Cardigan Ouvert Avant Kimono Vert Feuille Imprimé En Mousseline de Soie Cardigan S-5XL	2020 New Arrival Women Spring and Summer Beach Wear Long Thin Cardigan Open Front Kimono Green Leaf Printed Chiffon Cardigan S-5XL	8.00	43	100	0	3.57	14	5.0	4.0	4.0	0.0	3.0	Summer,cardigan,women beachwear,chiffon,Sexy women,Coat,summercardigan,openfront,short sleeves,Swimsuit,Women's Fashion,leaf,Green,printed,Spring,longcardigan,Women,Beach,kimono	leopardprint	XS	1	3	36	50	1	CN	hxt520	hxt520	86 % avis positifs (295 notes)	295	3.989831	5d464a1ffdf7bc44ee933c65	0	https://www.wish.com/c/5ea10e2c617580260d55310a	https://contestimg.wish.com/api/webimage/5ea10e2c617580260d55310a-medium.jpg	5ea10e2c617580260d55310a	2	['Summer', 'cardigan', 'women beachwear', 'chiffon', 'Sexy women', 'Coat', 'summercardigan', 'openfront', 'short sleeves', 'Swimsuit', "Women's Fashion", 'leaf', 'Green', 'printed', 'Spring', 'longcardigan', 'Women', 'Beach', 'kimono']
3	Hot Summer Cool T-shirt pour les femmes Mode Tops Abeille Lettres imprimées Manches courtes O Neck Coton T-shirts Tops Tee Vêtements	Hot Summer Cool T Shirt for Women Fashion Tops Bee Printed Letters Short Sleeve O Neck Cotton T-shirts Tops Tee Clothing	8.00	8	5000	1	4.03	579	295.0	119.0	119.0	42.0	36.0	Summer,Shorts,Cotton,Cotton T Shirt,Sleeve,printedletterstop,Clothing,Tops,Necks,short sleeves,Women's Fashion,Women Clothing,printed,Women,tshirtforwomen,Fashion,T Shirts,Shirt	black	M	50	2	41	50	0	CN	allenfan	allenfan	(23,832 notes)	23832	4.020435	58cfdefdacb37b556efdff7c	0	https://www.wish.com/c/5cedf17ad1d44c52c59e4aca	https://contestimg.wish.com/api/webimage/5cedf17ad1d44c52c59e4aca-medium.jpg	5cedf17ad1d44c52c59e4aca	4	['Summer', 'Shorts', 'Cotton', 'Cotton T Shirt', 'Sleeve', 'printedletterstop', 'Clothing', 'Tops', 'Necks', 'short sleeves', "Women's Fashion", 'Women Clothing', 'printed', 'Women', 'tshirtforwomen', 'Fashion', 'T Shirts', 'Shirt']
4	Femmes Shorts d'été à lacets taille élastique lâche mince pantalon décontracté, plus la taille S-8XL	Women Summer Shorts Lace Up Elastic Waistband Loose Thin Casual Pants Plus Size S-8XL	2.72	3	100	1	3.10	20	6.0	4.0	4.0	2.0	6.0	Summer,Plus Size,Lace,Casual pants,Bottom,pants,Loose,Women's Fashion,Shorts,Lace Up,Elastic,Casual,Women	yellow	S	1	1	35	50	1	CN	youngpeopleshop	happyhorses	85 % avis positifs (14,482 notes)	14482	4.001588	5ab3b592c3911a095ad5dadb	0	https://www.wish.com/c/5ebf5819ebac372b070b0e70	https://contestimg.wish.com/api/webimage/5ebf5819ebac372b070b0e70-medium.jpg	5ebf5819ebac372b070b0e70	3	['Summer', 'Plus Size', 'Lace', 'Casual pants', 'Bottom', 'pants', 'Loose', "Women's Fashion", 'Shorts', 'Lace Up', 'Elastic', 'Casual', 'Women']
5	Plus la taille d'été femmes décontracté sans manches barboteuses combinaisons combinaison de couleur unie jarretelles pantalons lâche salopette	Plus Size Summer Women Casual Sleeveless Rompers Jumpsuits Solid Color Suspender Ttrousers Loose Overalls	3.92	9	10	0	5.00	1	1.0	0.0	0.0	0.0	0.0	Deep V-Neck,Summer,Plus Size,Spaghetti Strap,Overalls,Women's Fashion,sleeveless,Women,Casual,jumpsuit	navyblue	Size-XS	1	1	40	50	0	CN	zhoulinglinga	zhoulinglinga	75 % avis positifs (65 notes)	65	3.507692	5e4b9c3801ba9d210036fc5a	0	https://www.wish.com/c/5ec645bafd107a02279c8c54	https://contestimg.wish.com/api/webimage/5ec645bafd107a02279c8c54-medium.jpg	5ec645bafd107a02279c8c54	1	['Deep V-Neck', 'Summer', 'Plus Size', 'Spaghetti Strap', 'Overalls', "Women's Fashion", 'sleeveless', 'Women', 'Casual', 'jumpsuit']
6	Women Fashion Loose Lace Blouse Blouse V Neck Bat Sleeves T Shirt Hollow Out Tops Plus Grande Taille XS-8XL	Women Fashion Loose Lace Blouse V Neck Bat Sleeves T Shirt Hollow Out Tops Plus Size XS-8XL	7.00	6	50000	0	3.84	6742	3172.0	1352.0	1352.0	490.0	757.0	blouse,Women,lace t shirt,summer t-shirts,Lace,Sleeve,Women Blouse,loose shirt,Short Sleeve Blouses,Pure Color,Womens Blouse,Bat,lace shirts,Necks,Women's Fashion,Plus Size,loose t-shirt,Short Sleeve T-Shirt,Fashion,Tops,Shirt	white	XS	50	2	31	50	0	CN	Unique Li Fashion Shop	uniquelifashionshopbb657bfe91d211e598c7063a14dc88b5	86 % avis positifs (10,194 notes)	10194	4.076516	5652f4053a698c76dc9a3f37	1	https://www.wish.com/c/5c63a337d5e2ce4bbb3152cf	https://contestimg.wish.com/api/webimage/5c63a337d5e2ce4bbb3152cf-medium.jpg	5c63a337d5e2ce4bbb3152cf	1	['blouse', 'Women', 'lace t shirt', 'summer t-shirts', 'Lace', 'Sleeve', 'Women Blouse', 'loose shirt', 'Short Sleeve Blouses', 'Pure Color', 'Womens Blouse', 'Bat', 'lace shirts', 'Necks', "Women's Fashion", 'Plus Size', 'loose t-shirt', 'Short Sleeve T-Shirt', 'Fashion', 'Tops', 'Shirt']
7	Robe tunique ample femme Robe d'été Robe en jean Robe chemise en jean Robe droite	Women's Baggy Tunic Dress Summer Dress Denim Dress Denim Shirt Dress Shift Dress	12.00	11	1000	0	3.76	286	120.0	56.0	56.0	18.0	31.0	Jeans,Fashion,tunic,Shirt,Summer,Dress,Denim,summer dress,denimjeansdres,short sleeves,casual dresses,Women's Fashion,Tunic dress,minishirtdres,Lines,mididre	blue	M.	50	3	139	50	0	CN	So Band	soband	(342 notes)	342	3.681287	5d45349676befe65691dcfbb	0	https://www.wish.com/c/5e0ae5ebc2efb76ccf0a3391	https://contestimg.wish.com/api/webimage/5e0ae5ebc2efb76ccf0a3391-medium.jpg	5e0ae5ebc2efb76ccf0a3391	1	['Jeans', 'Fashion', 'tunic', 'Shirt', 'Summer', 'Dress', 'Denim', 'summer dress', 'denimjeansdres', 'short sleeves', 'casual dresses', "Women's Fashion", 'Tunic dress', 'minishirtdres', 'Lines', 'mididre']
8	Robe d'été décontractée à manches courtes pour femmes	Women's Summer Casual Dress Fashion Short Sleeve Slim Dress	11.00	84	100	1	3.47	15	6.0	2.0	2.0	1.0	3.0	slim dress,summer dress,womenshortsleevedre,Sleeve,Summer,Dress,slim,short sleeves,Women's Fashion,Shorts,boho dress,slimfitdre,Fashion,Casual	black	M	50	2	36	50	1	CN	chenxiangjunjun	chenxiangjunjun	82 % avis positifs (330 notes)	330	3.803030	5d42980e8388970d32294ddc	0	https://www.wish.com/c/5e6f1fb7fe4a5bb4b8bf36e5	https://contestimg.wish.com/api/webimage/5e6f1fb7fe4a5bb4b8bf36e5-medium.jpg	5e6f1fb7fe4a5bb4b8bf36e5	1	['slim dress', 'summer dress', 'womenshortsleevedre', 'Sleeve', 'Summer', 'Dress', 'slim', 'short sleeves', "Women's Fashion", 'Shorts', 'boho dress', 'slimfitdre', 'Fashion', 'Casual']
9	Femmes d'été, plus la taille décontractée lâche col en V à manches courtes imprimé floral Blouse Tops	Summer Women Plus Size Casual Loose V Neck Short Sleeve Floral Printed Blouse Tops	5.78	22	5000	0	3.60	687	287.0	128.0	128.0	68.0	112.0	blouse,Summer,Plus Size,Floral print,Necks,Sleeve,summer shirt,Loose,short sleeves,Casual,T Shirts,Shorts,Fashion,Floral,Women,Women's Fashion,Tops,printed	beige	S	50	2	33	50	0	CN	Luowei clothe	luoweiclothe	85 % avis positifs (5,534 notes)	5534	3.999819	5ba2251b4315d12ebce873fa	0	https://www.wish.com/c/5ccfaf238a8d535cec2dfb47	https://contestimg.wish.com/api/webimage/5ccfaf238a8d535cec2dfb47-medium.jpg	5ccfaf238a8d535cec2dfb47	5	['blouse', 'Summer', 'Plus Size', 'Floral print', 'Necks', 'Sleeve', 'summer shirt', 'Loose', 'short sleeves', 'Casual', 'T Shirts', 'Shorts', 'Fashion', 'Floral', 'Women', "Women's Fashion", 'Tops', 'printed']

Last rows

	title	title_orig	price	retail_price	units_sold	uses_ad_boosts	rating	rating_count	rating_five_count	rating_four_count	rating_three_count	rating_two_count	rating_one_count	badges_count	badge_product_quality	tags	product_color	product_variation_size_id	product_variation_inventory	shipping_option_price	countries_shipped_to	inventory_total	has_urgency_banner	origin_country	merchant_title	merchant_name	merchant_info_subtitle	merchant_rating_count	merchant_rating	merchant_id	product_url	product_picture	product_id	num_listings	tag_list
1529	ZANZEA Femmes Été Polka Dot Kaftan Beach Club Party Longue Maxi Dress HOT Long Dress	ZANZEA Women Summer Polka Dot Kaftan Beach Club Party Long Maxi Dress HOT Long Dress	15.00	92	100	0	3.51	74	26.0	15.0	15.0	7.0	11.0	0	0	Summer,loosedresse,kaftan,long dress,baggydres,Dress,Polkas,robesforwomen,Women's Fashion,34sleevedres,party,roundneckdres,vestido,maxi dress,Beach,polka dot,Women	red	L	50	4	38	50	0	CN	fashionforgirls	guangzhouchanny	88% Feedback positivo (151,914 classificações)	151914	4.127921	53aa664438d3046ee44a5024	https://www.wish.com/c/5da04c1f5949a226113006f1	https://contestimg.wish.com/api/webimage/5da04c1f5949a226113006f1-medium.jpg	5da04c1f5949a226113006f1	4	['Summer', 'loosedresse', 'kaftan', 'long dress', 'baggydres', 'Dress', 'Polkas', 'robesforwomen', "Women's Fashion", '34sleevedres', 'party', 'roundneckdres', 'vestido', 'maxi dress', 'Beach', 'polka dot', 'Women']
1530	2018 Femme mode d'été en dentelle Patchwork Patchwork Débardeurs Débardeurs Casual Sleeveless Tops Gilet Chemisier (S-5XL) Grande taille	2018 Women fashion Summer Lace Patchwork Tank Tops Casual Sleeveless Tops Vest Blouse (S-5XL) Plus Size	5.91	5	1000	0	3.38	414	156.0	58.0	58.0	45.0	83.0	0	0	blouse,Summer,Vest,Fashion,Women Blouse,sleevelessblouse,summer shirt,Loose,tank top,Casual,summerblouse,Women's Fashion,sleeveless tops,women top,casualblouse,Women	White	S	50	2	36	50	1	CN	liminny	liminny	81 % avis positifs (12,134 notes)	12134	3.866903	58aec90823ef726994a323fe	https://www.wish.com/c/5b4ed29514f0765a8a844592	https://contestimg.wish.com/api/webimage/5b4ed29514f0765a8a844592-medium.jpg	5b4ed29514f0765a8a844592	2	['blouse', 'Summer', 'Vest', 'Fashion', 'Women Blouse', 'sleevelessblouse', 'summer shirt', 'Loose', 'tank top', 'Casual', 'summerblouse', "Women's Fashion", 'sleeveless tops', 'women top', 'casualblouse', 'Women']
1531	Nouveau Pantalon De Mode D'été Femmes Leggings Pantalon Déchiré Pantalon Mince Armée Vert Collants Pantalon	New Summer Fashion Trousers Women Leggings Ripped Pants Slim Pants Army Green Tights Pants	3.00	8	100	1	3.79	57	25.0	10.0	10.0	3.0	6.0	0	0	Summer,Leggings,Fashion,high waist,pants,slim,Women's Fashion,trousers,Green,Army,Women	skyblue	XS	1	1	41	50	1	CN	bujizhan	bujizhan	(4,080 notes)	4080	3.987990	584a7a381591451e4e3af3df	https://www.wish.com/c/5e8f0165e815903d022a3c7c	https://contestimg.wish.com/api/webimage/5e8f0165e815903d022a3c7c-medium.jpg	5e8f0165e815903d022a3c7c	3	['Summer', 'Leggings', 'Fashion', 'high waist', 'pants', 'slim', "Women's Fashion", 'trousers', 'Green', 'Army', 'Women']
1532	Robe mi-longue d'été à manches courtes pour femmes Baggy Robes pour femmes Shift Kaftan S-5XL	Womens Short Sleeve Baggy Summer Beach Midi Dress Ladies Shift Kaftan Dresses S-5XL	11.00	134	100	1	3.54	28	7.0	11.0	11.0	2.0	4.0	0	0	Summer,Shift Dress,Sleeve,shirt dress,long dress,Beach,Dress,short sleeves,beach dress,Shorts,Midi Dress,Ladies,Women's Fashion,loose dress,kaftandre	black	S	50	3	46	50	0	CN	SCOMELY	scomely	86 % avis positifs (1,926 notes)	1926	4.071651	593402ae25c4f54ed4e0abdf	https://www.wish.com/c/5d1060d39ed281190dfcec91	https://contestimg.wish.com/api/webimage/5d1060d39ed281190dfcec91-medium.jpg	5d1060d39ed281190dfcec91	2	['Summer', 'Shift Dress', 'Sleeve', 'shirt dress', 'long dress', 'Beach', 'Dress', 'short sleeves', 'beach dress', 'Shorts', 'Midi Dress', 'Ladies', "Women's Fashion", 'loose dress', 'kaftandre']
1533	Combinaison sans manches pour femmes couleur unie Dames Slim Short Bodycon Rompers Femmes Body	Sleeveless Solid Color Women Jumpsuit Ladies Slim Short Bodycon Rompers Women Bodysuit	8.00	7	20000	1	4.25	3127	1919.0	580.0	580.0	128.0	196.0	1	1	bodycon jumpsuits,nightwear,Shorts,slim,Body Suit,shortjumpsuit,Women,vestido,Ladies,sleeveless,sexy,Rompers,Casual,jumpsuit	black	M	50	2	44	50	0	CN	Rell Mail	rellmail	88 % avis positifs (16,803 notes)	16803	4.155032	56455b13b15aab129db58cb7	https://www.wish.com/c/5c91a7ae7cfe8e4e64c36d97	https://contestimg.wish.com/api/webimage/5c91a7ae7cfe8e4e64c36d97-medium.jpg	5c91a7ae7cfe8e4e64c36d97	3	['bodycon jumpsuits', 'nightwear', 'Shorts', 'slim', 'Body Suit', 'shortjumpsuit', 'Women', 'vestido', 'Ladies', 'sleeveless', 'sexy', 'Rompers', 'Casual', 'jumpsuit']
1534	Nouvelle Mode Femmes Bohême Pissenlit Imprimer Tee Shirt Lady Fille T-shirt À Manches Courtes Boho Graphique Tee Casual Yoga Top Plus La Taille	New Fashion Women Bohemia Dandelion Print Tee Shirt Lady Girl Short Sleeve T-shirt Boho Graphic Tee Casual Yoga Top Plus Size	6.00	9	10000	1	4.08	1367	722.0	293.0	293.0	77.0	90.0	0	0	bohemia,Plus Size,dandelionfloralprinted,short sleeves,yoga top,bohotshirt,Cool T-Shirts,Women's Fashion,Fashion,short sleeve shirt,Casual,Women,Shorts,Yoga,Shirt,Sleeve,graphic tee,Tee Shirt,T Shirts,boho,bohoshirt,Print,Casual Tops,Tops	navyblue	S	50	2	41	50	0	CN	cxuelin99126	cxuelin99126	90 % avis positifs (5,316 notes)	5316	4.224605	5b507899ab577736508a0782	https://www.wish.com/c/5d5fadc99febd9356cbc52ee	https://contestimg.wish.com/api/webimage/5d5fadc99febd9356cbc52ee-medium.jpg	5d5fadc99febd9356cbc52ee	3	['bohemia', 'Plus Size', 'dandelionfloralprinted', 'short sleeves', 'yoga top', 'bohotshirt', 'Cool T-Shirts', "Women's Fashion", 'Fashion', 'short sleeve shirt', 'Casual', 'Women', 'Shorts', 'Yoga', 'Shirt', 'Sleeve', 'graphic tee', 'Tee Shirt', 'T Shirts', 'boho', 'bohoshirt', 'Print', 'Casual Tops', 'Tops']
1535	10 couleurs femmes shorts d'été lacent ceinture élastique culotte lâche, plus la taille S-6XL	10 Color Women Summer Shorts Lace Up Elastic Waistband Loose Panties Plus Size S-6XL	2.00	56	100	1	3.07	28	11.0	3.0	3.0	3.0	10.0	0	0	Summer,Panties,Elastic,Lace,Casual pants,casualshort,summer shorts,Plus Size,Short pants,women shorts,Shorts,Beach Shorts Women,Beach Shorts,loosepant,high waisted shorts,Lace Up,Women's Fashion,Women	lightblue	S	2	1	26	50	1	CN	sell best quality goods	sellbestqualitygoods	(4,435 notes)	4435	3.696054	54d83b6b6b8a771e478558de	https://www.wish.com/c/5eccd22b4497b86fd48f16b4	https://contestimg.wish.com/api/webimage/5eccd22b4497b86fd48f16b4-medium.jpg	5eccd22b4497b86fd48f16b4	3	['Summer', 'Panties', 'Elastic', 'Lace', 'Casual pants', 'casualshort', 'summer shorts', 'Plus Size', 'Short pants', 'women shorts', 'Shorts', 'Beach Shorts Women', 'Beach Shorts', 'loosepant', 'high waisted shorts', 'Lace Up', "Women's Fashion", 'Women']
1536	Nouveautés Hommes Siwmwear Beach-Shorts Hommes Summer Short de bain court à séchage rapide Beach-Wear Sports	New Men Siwmwear Beach-Shorts Men Summer Quick-Dry Short Swim-Shorts Beach-Wear Sports	5.00	19	100	0	3.71	59	24.0	15.0	15.0	3.0	9.0	0	0	runningshort,Beach Shorts,beachpant,menbeachshort,Men,sailboatshort,beach swimwear,Men's Fashion,Shorts,Summer,men's shorts,Sport	white	SIZE S	15	2	11	50	0	CN	shixueying	shixueying	86 % avis positifs (210 notes)	210	3.961905	5b42da1bf64320209fc8da69	https://www.wish.com/c/5e74be96034d613d42b52dfe	https://contestimg.wish.com/api/webimage/5e74be96034d613d42b52dfe-medium.jpg	5e74be96034d613d42b52dfe	1	['runningshort', 'Beach Shorts', 'beachpant', 'menbeachshort', 'Men', 'sailboatshort', 'beach swimwear', "Men's Fashion", 'Shorts', 'Summer', "men's shorts", 'Sport']
1537	Mode femmes d'été sans manches robes col en V dos nu robe en dentelle dames robes de plage robe blanche	Fashion Women Summer Sleeveless Dresses V Neck Backless Lace Dress Ladies Beach Dresses White Dress	13.00	11	100	0	2.50	2	0.0	1.0	1.0	0.0	1.0	0	0	Summer,fashion women,Fashion,Lace,Dresses,Dress,Lace Dress,Women's Fashion,ladies dress,beach dress,Sleeveless dress,backless,women's dress,sleeveless,Ladies,women dress,V-neck Dresses,Women,Beach,white,Necks	white	Size S.	36	3	29	50	0	CN	modai	modai	77 % avis positifs (31 notes)	31	3.774194	5d56b32c40defd78043d5af9	https://www.wish.com/c/5eda07ab0e295c2097c36590	https://contestimg.wish.com/api/webimage/5eda07ab0e295c2097c36590-medium.jpg	5eda07ab0e295c2097c36590	2	['Summer', 'fashion women', 'Fashion', 'Lace', 'Dresses', 'Dress', 'Lace Dress', "Women's Fashion", 'ladies dress', 'beach dress', 'Sleeveless dress', 'backless', "women's dress", 'sleeveless', 'Ladies', 'women dress', 'V-neck Dresses', 'Women', 'Beach', 'white', 'Necks']
1538	Pantalon de yoga pour femmes à la mode Slim Fit Fitness Running Leggings	Fashion Women Yoga Pants Slim Fit Fitness Running Leggings	7.00	6	100	1	4.07	14	8.0	3.0	3.0	0.0	2.0	0	0	Summer,Leggings,slim,Yoga,pants,Slim Fit,Women's Fashion,Running,Fashion,Sport,Fitness,Women	red	S	50	2	41	50	0	CN	AISHOPPINGMALL	aishoppingmall	90 % avis positifs (7,023 notes)	7023	4.235939	5a409cf87b584e7951b2e25f	https://www.wish.com/c/5e857321f53c3d2d8f25e7ed	https://contestimg.wish.com/api/webimage/5e857321f53c3d2d8f25e7ed-medium.jpg	5e857321f53c3d2d8f25e7ed	1	['Summer', 'Leggings', 'slim', 'Yoga', 'pants', 'Slim Fit', "Women's Fashion", 'Running', 'Fashion', 'Sport', 'Fitness', 'Women']

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Close Punctuation

Open Punctuation

Space Separator

Math Symbol

Dash Punctuation

Connector Punctuation

Modifier Symbol

Control

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Close Punctuation

Open Punctuation

Math Symbol

Final Punctuation

Initial Punctuation

Space Separator

Dash Punctuation

Connector Punctuation

Other Symbol

Control

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Punctuation

None

Letterlike Symbols

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks